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You searched for subject:(Target Detection). Showing records 1 – 30 of 114 total matches.

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NSYSU

1. Sung, Chen-Hung. The Study of Synthetic Aperture Sonar System.

Degree: Master, IAMPUT, 2010, NSYSU

 This research is to study the fundamental theory of Synthetic Aperture Sonar (SAS) through numerical simulation and experimental analysis. The basic principle of SAS is… (more)

Subjects/Keywords: target detection; image reconstruction; synthetic aperture sonar

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sung, C. (2010). The Study of Synthetic Aperture Sonar System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0831110-150211

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sung, Chen-Hung. “The Study of Synthetic Aperture Sonar System.” 2010. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0831110-150211.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sung, Chen-Hung. “The Study of Synthetic Aperture Sonar System.” 2010. Web. 16 Jul 2019.

Vancouver:

Sung C. The Study of Synthetic Aperture Sonar System. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0831110-150211.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sung C. The Study of Synthetic Aperture Sonar System. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0831110-150211

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Kwon, Yangsoo. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR.

Degree: PhD, Electrical Engineering, 2012, Penn State University

 Ultra-wideband (UWB) noise radar has been widely considered as a promising technique for covert high-resolution detection of multiple targets due to several advantages such as… (more)

Subjects/Keywords: noise radar; target detection; MIMO radar

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APA (6th Edition):

Kwon, Y. (2012). TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15716

Chicago Manual of Style (16th Edition):

Kwon, Yangsoo. “TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR.” 2012. Doctoral Dissertation, Penn State University. Accessed July 16, 2019. https://etda.libraries.psu.edu/catalog/15716.

MLA Handbook (7th Edition):

Kwon, Yangsoo. “TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR.” 2012. Web. 16 Jul 2019.

Vancouver:

Kwon Y. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR. [Internet] [Doctoral dissertation]. Penn State University; 2012. [cited 2019 Jul 16]. Available from: https://etda.libraries.psu.edu/catalog/15716.

Council of Science Editors:

Kwon Y. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR. [Doctoral Dissertation]. Penn State University; 2012. Available from: https://etda.libraries.psu.edu/catalog/15716


University of Houston

3. Bhardwaj, Manisha 1986-. Visual decision making in the presence of stimulus and measurement correlations.

Degree: Mathematics, Department of, 2013, University of Houston

 Our brains process sensory information to infer the state of the world. However, the input from our senses is noisy, which may lead to errors… (more)

Subjects/Keywords: Bayesian inference; model comparison; correlations; target detection

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APA (6th Edition):

Bhardwaj, M. 1. (2013). Visual decision making in the presence of stimulus and measurement correlations. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1239

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bhardwaj, Manisha 1986-. “Visual decision making in the presence of stimulus and measurement correlations.” 2013. Thesis, University of Houston. Accessed July 16, 2019. http://hdl.handle.net/10657/1239.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bhardwaj, Manisha 1986-. “Visual decision making in the presence of stimulus and measurement correlations.” 2013. Web. 16 Jul 2019.

Vancouver:

Bhardwaj M1. Visual decision making in the presence of stimulus and measurement correlations. [Internet] [Thesis]. University of Houston; 2013. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10657/1239.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bhardwaj M1. Visual decision making in the presence of stimulus and measurement correlations. [Thesis]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/1239

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cranfield University

4. Hughes, E. J. Radar cross section modelling using genetic algorithms.

Degree: PhD, 2009, Cranfield University

 In the design of new, more sophisticated missile systems, simulations need to be realistic and fast. Realistic target models are just as important as realistic… (more)

Subjects/Keywords: 623.4519; Target manoeuvre detection; Radar guidance

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APA (6th Edition):

Hughes, E. J. (2009). Radar cross section modelling using genetic algorithms. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/3263 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266463

Chicago Manual of Style (16th Edition):

Hughes, E J. “Radar cross section modelling using genetic algorithms.” 2009. Doctoral Dissertation, Cranfield University. Accessed July 16, 2019. http://dspace.lib.cranfield.ac.uk/handle/1826/3263 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266463.

MLA Handbook (7th Edition):

Hughes, E J. “Radar cross section modelling using genetic algorithms.” 2009. Web. 16 Jul 2019.

Vancouver:

Hughes EJ. Radar cross section modelling using genetic algorithms. [Internet] [Doctoral dissertation]. Cranfield University; 2009. [cited 2019 Jul 16]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/3263 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266463.

Council of Science Editors:

Hughes EJ. Radar cross section modelling using genetic algorithms. [Doctoral Dissertation]. Cranfield University; 2009. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/3263 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266463


University of Toronto

5. Vilela, Julio. A Dynamic Approach to Sensor Network Deployment for Target Detection in Unstructured, Expanding Search Areas.

Degree: 2015, University of Toronto

This thesis presents a novel dynamic deployment strategy for a network of static sensors using a probability model of target motion to detect un-trackable targets.… (more)

Subjects/Keywords: Deployment; Static Sensors; Target Detection; 0548

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vilela, J. (2015). A Dynamic Approach to Sensor Network Deployment for Target Detection in Unstructured, Expanding Search Areas. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70707

Chicago Manual of Style (16th Edition):

Vilela, Julio. “A Dynamic Approach to Sensor Network Deployment for Target Detection in Unstructured, Expanding Search Areas.” 2015. Masters Thesis, University of Toronto. Accessed July 16, 2019. http://hdl.handle.net/1807/70707.

MLA Handbook (7th Edition):

Vilela, Julio. “A Dynamic Approach to Sensor Network Deployment for Target Detection in Unstructured, Expanding Search Areas.” 2015. Web. 16 Jul 2019.

Vancouver:

Vilela J. A Dynamic Approach to Sensor Network Deployment for Target Detection in Unstructured, Expanding Search Areas. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1807/70707.

Council of Science Editors:

Vilela J. A Dynamic Approach to Sensor Network Deployment for Target Detection in Unstructured, Expanding Search Areas. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70707


Rochester Institute of Technology

6. Flusche, Brian M. An Analysis of multimodal sensor fusion for target detection in an urban environment.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2011, Rochester Institute of Technology

 This work makes a compelling case for simulation as an attractive tool in designing cutting-edge remote sensing systems to generate the sheer volume of data… (more)

Subjects/Keywords: Multimodal fusion; Polarimetric sensing; Simulation; Target detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Flusche, B. M. (2011). An Analysis of multimodal sensor fusion for target detection in an urban environment. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2972

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Flusche, Brian M. “An Analysis of multimodal sensor fusion for target detection in an urban environment.” 2011. Thesis, Rochester Institute of Technology. Accessed July 16, 2019. https://scholarworks.rit.edu/theses/2972.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Flusche, Brian M. “An Analysis of multimodal sensor fusion for target detection in an urban environment.” 2011. Web. 16 Jul 2019.

Vancouver:

Flusche BM. An Analysis of multimodal sensor fusion for target detection in an urban environment. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2019 Jul 16]. Available from: https://scholarworks.rit.edu/theses/2972.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Flusche BM. An Analysis of multimodal sensor fusion for target detection in an urban environment. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/2972

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

7. Sridhar, Srikumar. Testbed Design For Evaluation Of Active Cyber Defense Systems.

Degree: 2018, Penn State University

 As with any system, often times, an attacker only needs to know a single vulnerability to compromise the entire system. To ensure a system is… (more)

Subjects/Keywords: Moving Target Defense; Container Migration; Intrusion Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sridhar, S. (2018). Testbed Design For Evaluation Of Active Cyber Defense Systems. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15730sus511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sridhar, Srikumar. “Testbed Design For Evaluation Of Active Cyber Defense Systems.” 2018. Thesis, Penn State University. Accessed July 16, 2019. https://etda.libraries.psu.edu/catalog/15730sus511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sridhar, Srikumar. “Testbed Design For Evaluation Of Active Cyber Defense Systems.” 2018. Web. 16 Jul 2019.

Vancouver:

Sridhar S. Testbed Design For Evaluation Of Active Cyber Defense Systems. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Jul 16]. Available from: https://etda.libraries.psu.edu/catalog/15730sus511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sridhar S. Testbed Design For Evaluation Of Active Cyber Defense Systems. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15730sus511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Adelaide

8. Zhao, Shi. Automatic underwater multiple objects detection and tracking using sonar imaging.

Degree: 2010, University of Adelaide

 The exploration of oceans and sea beds is being made increasingly possible through the development of Autonomous Underwater Vehicles (AUVs). This is an activity that… (more)

Subjects/Keywords: sonar imaging; image processing; target detection; AUV

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhao, S. (2010). Automatic underwater multiple objects detection and tracking using sonar imaging. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/60983

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Shi. “Automatic underwater multiple objects detection and tracking using sonar imaging.” 2010. Thesis, University of Adelaide. Accessed July 16, 2019. http://hdl.handle.net/2440/60983.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Shi. “Automatic underwater multiple objects detection and tracking using sonar imaging.” 2010. Web. 16 Jul 2019.

Vancouver:

Zhao S. Automatic underwater multiple objects detection and tracking using sonar imaging. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2440/60983.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao S. Automatic underwater multiple objects detection and tracking using sonar imaging. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/60983

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Northeastern University

9. Loughlin, Cooper. Performance prediction of hyperspectral target detection algorithms via importance sampling.

Degree: MS, Department of Electrical and Computer Engineering, 2018, Northeastern University

 Remote Hyperspectral Imaging (HSI) is a powerful tool for identifying different materials on the surface of a large geographic area. Detection algorithms have been developed… (more)

Subjects/Keywords: hyperspectral imaging; importance sampling; target detection

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APA (6th Edition):

Loughlin, C. (2018). Performance prediction of hyperspectral target detection algorithms via importance sampling. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20292428

Chicago Manual of Style (16th Edition):

Loughlin, Cooper. “Performance prediction of hyperspectral target detection algorithms via importance sampling.” 2018. Masters Thesis, Northeastern University. Accessed July 16, 2019. http://hdl.handle.net/2047/D20292428.

MLA Handbook (7th Edition):

Loughlin, Cooper. “Performance prediction of hyperspectral target detection algorithms via importance sampling.” 2018. Web. 16 Jul 2019.

Vancouver:

Loughlin C. Performance prediction of hyperspectral target detection algorithms via importance sampling. [Internet] [Masters thesis]. Northeastern University; 2018. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2047/D20292428.

Council of Science Editors:

Loughlin C. Performance prediction of hyperspectral target detection algorithms via importance sampling. [Masters Thesis]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20292428


Rochester Institute of Technology

10. Lugo, Alfredo. Single pixel target detection using multispectral background changes.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2010, Rochester Institute of Technology

 Possible methods to help a remote sensing analyst to find a static or moving single pixel target over vast areas of terrain were examined in… (more)

Subjects/Keywords: Change detection; Chronochrome; Multispectral target detection; Wide area search

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APA (6th Edition):

Lugo, A. (2010). Single pixel target detection using multispectral background changes. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2911

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lugo, Alfredo. “Single pixel target detection using multispectral background changes.” 2010. Thesis, Rochester Institute of Technology. Accessed July 16, 2019. https://scholarworks.rit.edu/theses/2911.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lugo, Alfredo. “Single pixel target detection using multispectral background changes.” 2010. Web. 16 Jul 2019.

Vancouver:

Lugo A. Single pixel target detection using multispectral background changes. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2019 Jul 16]. Available from: https://scholarworks.rit.edu/theses/2911.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lugo A. Single pixel target detection using multispectral background changes. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/2911

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

11. Paulus, Audrey S. Improved target detection through extended-dwell, multichannel radar.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 The detection of weak, ground-moving targets can be improved through effective utilization of additional target signal energy collected over an extended dwell time. The signal… (more)

Subjects/Keywords: Target detection; Multichannel radar; Ground moving target indication; Radar signal processing; Space-time-adaptive processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Paulus, A. S. (2014). Improved target detection through extended-dwell, multichannel radar. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54279

Chicago Manual of Style (16th Edition):

Paulus, Audrey S. “Improved target detection through extended-dwell, multichannel radar.” 2014. Doctoral Dissertation, Georgia Tech. Accessed July 16, 2019. http://hdl.handle.net/1853/54279.

MLA Handbook (7th Edition):

Paulus, Audrey S. “Improved target detection through extended-dwell, multichannel radar.” 2014. Web. 16 Jul 2019.

Vancouver:

Paulus AS. Improved target detection through extended-dwell, multichannel radar. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1853/54279.

Council of Science Editors:

Paulus AS. Improved target detection through extended-dwell, multichannel radar. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54279


Rochester Institute of Technology

12. Stefanou, Marcus S. Spectral image utility for target detection applications.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2008, Rochester Institute of Technology

 In a wide range of applications, images convey useful information about scenes. The “utility” of an image is defined with reference to the specific task… (more)

Subjects/Keywords: Airborne imagery; Image target detection; Satellite imagery; Target detection

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APA (6th Edition):

Stefanou, M. S. (2008). Spectral image utility for target detection applications. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2910

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stefanou, Marcus S. “Spectral image utility for target detection applications.” 2008. Thesis, Rochester Institute of Technology. Accessed July 16, 2019. https://scholarworks.rit.edu/theses/2910.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stefanou, Marcus S. “Spectral image utility for target detection applications.” 2008. Web. 16 Jul 2019.

Vancouver:

Stefanou MS. Spectral image utility for target detection applications. [Internet] [Thesis]. Rochester Institute of Technology; 2008. [cited 2019 Jul 16]. Available from: https://scholarworks.rit.edu/theses/2910.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stefanou MS. Spectral image utility for target detection applications. [Thesis]. Rochester Institute of Technology; 2008. Available from: https://scholarworks.rit.edu/theses/2910

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Miami University

13. Kauffman, Kyle J. Fast Target Tracking Technique for Synthetic Aperture Radars.

Degree: MS, Computer Science and Systems Analysis, 2009, Miami University

 Modern radar imaging requires advanced Synthetic Aperture Radar (SAR) techniques in order to compensate for the low resolution typically found on airborne radars. However, the… (more)

Subjects/Keywords: Computer Science; Electrical Engineering; SAR; computational efficiency; target detection; local search

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kauffman, K. J. (2009). Fast Target Tracking Technique for Synthetic Aperture Radars. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1250263416

Chicago Manual of Style (16th Edition):

Kauffman, Kyle J. “Fast Target Tracking Technique for Synthetic Aperture Radars.” 2009. Masters Thesis, Miami University. Accessed July 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1250263416.

MLA Handbook (7th Edition):

Kauffman, Kyle J. “Fast Target Tracking Technique for Synthetic Aperture Radars.” 2009. Web. 16 Jul 2019.

Vancouver:

Kauffman KJ. Fast Target Tracking Technique for Synthetic Aperture Radars. [Internet] [Masters thesis]. Miami University; 2009. [cited 2019 Jul 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1250263416.

Council of Science Editors:

Kauffman KJ. Fast Target Tracking Technique for Synthetic Aperture Radars. [Masters Thesis]. Miami University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1250263416


University of Adelaide

14. Chew, Hong Gunn. Support vector machines with dual error extensions for target detection and object recognition.

Degree: 2013, University of Adelaide

 The Support Vector Machine (SVM) is a binary classification paradigm based on statistical learning. It is an important tool in object detection and pattern recognition,… (more)

Subjects/Keywords: support vector machines; target detection; dual error extensions; nu-svm; multiclass

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APA (6th Edition):

Chew, H. G. (2013). Support vector machines with dual error extensions for target detection and object recognition. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/96169

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chew, Hong Gunn. “Support vector machines with dual error extensions for target detection and object recognition.” 2013. Thesis, University of Adelaide. Accessed July 16, 2019. http://hdl.handle.net/2440/96169.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chew, Hong Gunn. “Support vector machines with dual error extensions for target detection and object recognition.” 2013. Web. 16 Jul 2019.

Vancouver:

Chew HG. Support vector machines with dual error extensions for target detection and object recognition. [Internet] [Thesis]. University of Adelaide; 2013. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2440/96169.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chew HG. Support vector machines with dual error extensions for target detection and object recognition. [Thesis]. University of Adelaide; 2013. Available from: http://hdl.handle.net/2440/96169

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Bajagain, Krishna Mani. Experiment with Moving Target Focusing using GB-SAR.

Degree: 2014, , Department of Applied Signal Processing

Ground Based Synthetic Aperture Radar (GB-SAR) refers to SAR system which is mounted on ground linear track. It works on same principle as conventional… (more)

Subjects/Keywords: SAR; GB-SAR; GBP algorithm; Moving target Detection

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APA (6th Edition):

Bajagain, K. M. (2014). Experiment with Moving Target Focusing using GB-SAR. (Thesis). , Department of Applied Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6007

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bajagain, Krishna Mani. “Experiment with Moving Target Focusing using GB-SAR.” 2014. Thesis, , Department of Applied Signal Processing. Accessed July 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6007.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bajagain, Krishna Mani. “Experiment with Moving Target Focusing using GB-SAR.” 2014. Web. 16 Jul 2019.

Vancouver:

Bajagain KM. Experiment with Moving Target Focusing using GB-SAR. [Internet] [Thesis]. , Department of Applied Signal Processing; 2014. [cited 2019 Jul 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6007.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bajagain KM. Experiment with Moving Target Focusing using GB-SAR. [Thesis]. , Department of Applied Signal Processing; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6007

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Loughborough University

16. Lepper, Paul Andrew. The development and testing of a parametric sonar system for use in sediment classification and the detection of buried objects.

Degree: PhD, 1999, Loughborough University

 This thesis describes the work carried out in the development and testing of parametric sonar systems for application in the fields of seabed sediment characterisation… (more)

Subjects/Keywords: 534; Target detection; Seabed

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APA (6th Edition):

Lepper, P. A. (1999). The development and testing of a parametric sonar system for use in sediment classification and the detection of buried objects. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/32977 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311002

Chicago Manual of Style (16th Edition):

Lepper, Paul Andrew. “The development and testing of a parametric sonar system for use in sediment classification and the detection of buried objects.” 1999. Doctoral Dissertation, Loughborough University. Accessed July 16, 2019. https://dspace.lboro.ac.uk/2134/32977 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311002.

MLA Handbook (7th Edition):

Lepper, Paul Andrew. “The development and testing of a parametric sonar system for use in sediment classification and the detection of buried objects.” 1999. Web. 16 Jul 2019.

Vancouver:

Lepper PA. The development and testing of a parametric sonar system for use in sediment classification and the detection of buried objects. [Internet] [Doctoral dissertation]. Loughborough University; 1999. [cited 2019 Jul 16]. Available from: https://dspace.lboro.ac.uk/2134/32977 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311002.

Council of Science Editors:

Lepper PA. The development and testing of a parametric sonar system for use in sediment classification and the detection of buried objects. [Doctoral Dissertation]. Loughborough University; 1999. Available from: https://dspace.lboro.ac.uk/2134/32977 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311002


University of Waterloo

17. Elmogy, Ahmed Mohamed. Market_based Framework for Mobile Surveillance Systems.

Degree: 2010, University of Waterloo

 The active surveillance of public and private sites is increasingly becoming a very important and critical issue. It is therefore, imperative to develop mobile surveillance… (more)

Subjects/Keywords: Market_based approach; Task allocation; Target detection and tracking; Surveillance systems

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APA (6th Edition):

Elmogy, A. M. (2010). Market_based Framework for Mobile Surveillance Systems. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Elmogy, Ahmed Mohamed. “Market_based Framework for Mobile Surveillance Systems.” 2010. Thesis, University of Waterloo. Accessed July 16, 2019. http://hdl.handle.net/10012/5324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Elmogy, Ahmed Mohamed. “Market_based Framework for Mobile Surveillance Systems.” 2010. Web. 16 Jul 2019.

Vancouver:

Elmogy AM. Market_based Framework for Mobile Surveillance Systems. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10012/5324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Elmogy AM. Market_based Framework for Mobile Surveillance Systems. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Bitar, Ahmad. Exploitation de la parcimonie pour la détection de cibles dans les images hyperspectrales : Exploitation of Sparsity for Hyperspectral Target Detection.

Degree: Docteur es, Traitement du signal et des images, 2018, Paris Saclay

Le titre de cette thèse de doctorat est formé de trois mots clés: parcimonie, image hyperspectrale, et détection de cibles. La parcimonie signifie généralement «… (more)

Subjects/Keywords: Parcimonie; Image hyperspectrale; Détection de cibles; Sparsity; Hyperspectral Image; Target detection

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APA (6th Edition):

Bitar, A. (2018). Exploitation de la parcimonie pour la détection de cibles dans les images hyperspectrales : Exploitation of Sparsity for Hyperspectral Target Detection. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2018SACLC043

Chicago Manual of Style (16th Edition):

Bitar, Ahmad. “Exploitation de la parcimonie pour la détection de cibles dans les images hyperspectrales : Exploitation of Sparsity for Hyperspectral Target Detection.” 2018. Doctoral Dissertation, Paris Saclay. Accessed July 16, 2019. http://www.theses.fr/2018SACLC043.

MLA Handbook (7th Edition):

Bitar, Ahmad. “Exploitation de la parcimonie pour la détection de cibles dans les images hyperspectrales : Exploitation of Sparsity for Hyperspectral Target Detection.” 2018. Web. 16 Jul 2019.

Vancouver:

Bitar A. Exploitation de la parcimonie pour la détection de cibles dans les images hyperspectrales : Exploitation of Sparsity for Hyperspectral Target Detection. [Internet] [Doctoral dissertation]. Paris Saclay; 2018. [cited 2019 Jul 16]. Available from: http://www.theses.fr/2018SACLC043.

Council of Science Editors:

Bitar A. Exploitation de la parcimonie pour la détection de cibles dans les images hyperspectrales : Exploitation of Sparsity for Hyperspectral Target Detection. [Doctoral Dissertation]. Paris Saclay; 2018. Available from: http://www.theses.fr/2018SACLC043


University of New Orleans

19. Stein, Gregory W. Target Detection Using a Wavelet-Based Fractal Scheme.

Degree: MS, Electrical Engineering, 2006, University of New Orleans

  In this thesis, a target detection technique using a rotational invariant wavelet-based scheme is presented. The technique is evaluated on Synthetic Aperture Rader (SAR)… (more)

Subjects/Keywords: Target Detection; Wavelet; Fractal

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APA (6th Edition):

Stein, G. W. (2006). Target Detection Using a Wavelet-Based Fractal Scheme. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stein, Gregory W. “Target Detection Using a Wavelet-Based Fractal Scheme.” 2006. Thesis, University of New Orleans. Accessed July 16, 2019. https://scholarworks.uno.edu/td/437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stein, Gregory W. “Target Detection Using a Wavelet-Based Fractal Scheme.” 2006. Web. 16 Jul 2019.

Vancouver:

Stein GW. Target Detection Using a Wavelet-Based Fractal Scheme. [Internet] [Thesis]. University of New Orleans; 2006. [cited 2019 Jul 16]. Available from: https://scholarworks.uno.edu/td/437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stein GW. Target Detection Using a Wavelet-Based Fractal Scheme. [Thesis]. University of New Orleans; 2006. Available from: https://scholarworks.uno.edu/td/437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Northeastern University

20. Peer, Uri. Automated target detection for geophysical applications.

Degree: PhD, Department of Electrical and Computer Engineering, 2017, Northeastern University

 In many geophysical surveys there is a pre-defined goal - to detect and locate very specific anomalies, ones which correspond to buried objects (targets). The… (more)

Subjects/Keywords: geophysical signal processing; GPR; ground penetrating radar; target detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Peer, U. (2017). Automated target detection for geophysical applications. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20254362

Chicago Manual of Style (16th Edition):

Peer, Uri. “Automated target detection for geophysical applications.” 2017. Doctoral Dissertation, Northeastern University. Accessed July 16, 2019. http://hdl.handle.net/2047/D20254362.

MLA Handbook (7th Edition):

Peer, Uri. “Automated target detection for geophysical applications.” 2017. Web. 16 Jul 2019.

Vancouver:

Peer U. Automated target detection for geophysical applications. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2047/D20254362.

Council of Science Editors:

Peer U. Automated target detection for geophysical applications. [Doctoral Dissertation]. Northeastern University; 2017. Available from: http://hdl.handle.net/2047/D20254362


University of Georgia

21. Kim, Sangjin. Prioritizing hypothesis tests for high throughput data with multiple testing methods.

Degree: PhD, Statistics, 2015, University of Georgia

 The rise of automated data production has vastly increased the scale and resolution of biological data, and a fundamental challenge in modern biology is finding… (more)

Subjects/Keywords: target effects; filtering technique; power of detection; optimal filtering; p-value weighting

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APA (6th Edition):

Kim, S. (2015). Prioritizing hypothesis tests for high throughput data with multiple testing methods. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/kim_sangjin_201512_phd

Chicago Manual of Style (16th Edition):

Kim, Sangjin. “Prioritizing hypothesis tests for high throughput data with multiple testing methods.” 2015. Doctoral Dissertation, University of Georgia. Accessed July 16, 2019. http://purl.galileo.usg.edu/uga_etd/kim_sangjin_201512_phd.

MLA Handbook (7th Edition):

Kim, Sangjin. “Prioritizing hypothesis tests for high throughput data with multiple testing methods.” 2015. Web. 16 Jul 2019.

Vancouver:

Kim S. Prioritizing hypothesis tests for high throughput data with multiple testing methods. [Internet] [Doctoral dissertation]. University of Georgia; 2015. [cited 2019 Jul 16]. Available from: http://purl.galileo.usg.edu/uga_etd/kim_sangjin_201512_phd.

Council of Science Editors:

Kim S. Prioritizing hypothesis tests for high throughput data with multiple testing methods. [Doctoral Dissertation]. University of Georgia; 2015. Available from: http://purl.galileo.usg.edu/uga_etd/kim_sangjin_201512_phd


University of Dayton

22. Morman, Christopher Joseph. Hyperspectral Target Detection Performance Modeling.

Degree: MS(M.S.), Electrical Engineering, 2015, University of Dayton

 Hyperspectral remote sensing has become a popular topic of research due to the numerous applications stemming from the high dimensionality of the recorded spectral data.… (more)

Subjects/Keywords: Electrical Engineering; Remote Sensing; Statistics; Hyperspectral; Remote Sensing; Target Detection; Performance Modeling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Morman, C. J. (2015). Hyperspectral Target Detection Performance Modeling. (Masters Thesis). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1446587051

Chicago Manual of Style (16th Edition):

Morman, Christopher Joseph. “Hyperspectral Target Detection Performance Modeling.” 2015. Masters Thesis, University of Dayton. Accessed July 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1446587051.

MLA Handbook (7th Edition):

Morman, Christopher Joseph. “Hyperspectral Target Detection Performance Modeling.” 2015. Web. 16 Jul 2019.

Vancouver:

Morman CJ. Hyperspectral Target Detection Performance Modeling. [Internet] [Masters thesis]. University of Dayton; 2015. [cited 2019 Jul 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1446587051.

Council of Science Editors:

Morman CJ. Hyperspectral Target Detection Performance Modeling. [Masters Thesis]. University of Dayton; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1446587051


Washington University in St. Louis

23. Sen, Satyabrata. Adaptive OFDM Radar for Target Detection and Tracking.

Degree: PhD, Electrical and Systems Engineering, 2010, Washington University in St. Louis

 We develop algorithms to detect and track targets by employing a wideband orthogonal frequency division multiplexing: OFDM) radar signal. The frequency diversity of the OFDM… (more)

Subjects/Keywords: Engineering; Detection, Low-grazing angle target, Multipath environment, OFDM radar, Tracking, Waveform design

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APA (6th Edition):

Sen, S. (2010). Adaptive OFDM Radar for Target Detection and Tracking. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/318

Chicago Manual of Style (16th Edition):

Sen, Satyabrata. “Adaptive OFDM Radar for Target Detection and Tracking.” 2010. Doctoral Dissertation, Washington University in St. Louis. Accessed July 16, 2019. https://openscholarship.wustl.edu/etd/318.

MLA Handbook (7th Edition):

Sen, Satyabrata. “Adaptive OFDM Radar for Target Detection and Tracking.” 2010. Web. 16 Jul 2019.

Vancouver:

Sen S. Adaptive OFDM Radar for Target Detection and Tracking. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2010. [cited 2019 Jul 16]. Available from: https://openscholarship.wustl.edu/etd/318.

Council of Science Editors:

Sen S. Adaptive OFDM Radar for Target Detection and Tracking. [Doctoral Dissertation]. Washington University in St. Louis; 2010. Available from: https://openscholarship.wustl.edu/etd/318


Western Kentucky University

24. Coffey, Brandon Wade. Age Differences in the Impact of Emotional Cues on Subsequent Target Detection.

Degree: MS, Department of Psychological Sciences, 2015, Western Kentucky University

  Emotional cues within the environment capture our attention and influence how we perceive our surroundings. Past research has shown that emotional cues presented before… (more)

Subjects/Keywords: Aging; Emotion; Target Detection; Spatiotemporal Vision; Experimental Analysis of Behavior; Psychology; Social Psychology

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APA (6th Edition):

Coffey, B. W. (2015). Age Differences in the Impact of Emotional Cues on Subsequent Target Detection. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/1508

Chicago Manual of Style (16th Edition):

Coffey, Brandon Wade. “Age Differences in the Impact of Emotional Cues on Subsequent Target Detection.” 2015. Masters Thesis, Western Kentucky University. Accessed July 16, 2019. https://digitalcommons.wku.edu/theses/1508.

MLA Handbook (7th Edition):

Coffey, Brandon Wade. “Age Differences in the Impact of Emotional Cues on Subsequent Target Detection.” 2015. Web. 16 Jul 2019.

Vancouver:

Coffey BW. Age Differences in the Impact of Emotional Cues on Subsequent Target Detection. [Internet] [Masters thesis]. Western Kentucky University; 2015. [cited 2019 Jul 16]. Available from: https://digitalcommons.wku.edu/theses/1508.

Council of Science Editors:

Coffey BW. Age Differences in the Impact of Emotional Cues on Subsequent Target Detection. [Masters Thesis]. Western Kentucky University; 2015. Available from: https://digitalcommons.wku.edu/theses/1508


University of South Florida

25. Portilla, Carlos A. Modeling and Analysis of Cooperative Search Systems.

Degree: 2010, University of South Florida

 The analysis of performance gains arising from cueing in cooperative search systems with autonomous vehicles has been studied using Continuous Time Markov Chains; where the… (more)

Subjects/Keywords: Petri Net; cueing; simulation; target detection; UAVs; American Studies; Arts and Humanities

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APA (6th Edition):

Portilla, C. A. (2010). Modeling and Analysis of Cooperative Search Systems. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/3610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Portilla, Carlos A. “Modeling and Analysis of Cooperative Search Systems.” 2010. Thesis, University of South Florida. Accessed July 16, 2019. https://scholarcommons.usf.edu/etd/3610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Portilla, Carlos A. “Modeling and Analysis of Cooperative Search Systems.” 2010. Web. 16 Jul 2019.

Vancouver:

Portilla CA. Modeling and Analysis of Cooperative Search Systems. [Internet] [Thesis]. University of South Florida; 2010. [cited 2019 Jul 16]. Available from: https://scholarcommons.usf.edu/etd/3610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Portilla CA. Modeling and Analysis of Cooperative Search Systems. [Thesis]. University of South Florida; 2010. Available from: https://scholarcommons.usf.edu/etd/3610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


George Mason University

26. Grossman, Stanley I. An Automated Directed Spectral Search Methodology for Small Target Detection .

Degree: 2014, George Mason University

 Much of the current efforts in remote sensing tackle macro-level problems such as determining the extent of wheat in a field, the general health of… (more)

Subjects/Keywords: Remote sensing; analytic sweet spot; automated target detection; directed search; nearest neighbor inflation; spectral searach

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APA (6th Edition):

Grossman, S. I. (2014). An Automated Directed Spectral Search Methodology for Small Target Detection . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Grossman, Stanley I. “An Automated Directed Spectral Search Methodology for Small Target Detection .” 2014. Thesis, George Mason University. Accessed July 16, 2019. http://hdl.handle.net/1920/8885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Grossman, Stanley I. “An Automated Directed Spectral Search Methodology for Small Target Detection .” 2014. Web. 16 Jul 2019.

Vancouver:

Grossman SI. An Automated Directed Spectral Search Methodology for Small Target Detection . [Internet] [Thesis]. George Mason University; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1920/8885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grossman SI. An Automated Directed Spectral Search Methodology for Small Target Detection . [Thesis]. George Mason University; 2014. Available from: http://hdl.handle.net/1920/8885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

27. Svejkosky, Joseph. Hyperspectral Vehicle BRDF Learning: An Exploration of Vehicle Re ectance Variation and Optimal Measures of Spectral Similarity for Vehicle Reacquisition and Tracking Algorithms.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2016, Rochester Institute of Technology

  The spectral signatures of vehicles in hyperspectral imagery exhibit temporal variations due to the preponderance of surfaces with material properties that display non-Lambertian bi-directional… (more)

Subjects/Keywords: Bidirectional reflectance distribution function; BRDF; Hyperspectral; Target detection; Vehicle modeling; Vehicle tracking

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APA (6th Edition):

Svejkosky, J. (2016). Hyperspectral Vehicle BRDF Learning: An Exploration of Vehicle Re ectance Variation and Optimal Measures of Spectral Similarity for Vehicle Reacquisition and Tracking Algorithms. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9203

Chicago Manual of Style (16th Edition):

Svejkosky, Joseph. “Hyperspectral Vehicle BRDF Learning: An Exploration of Vehicle Re ectance Variation and Optimal Measures of Spectral Similarity for Vehicle Reacquisition and Tracking Algorithms.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed July 16, 2019. https://scholarworks.rit.edu/theses/9203.

MLA Handbook (7th Edition):

Svejkosky, Joseph. “Hyperspectral Vehicle BRDF Learning: An Exploration of Vehicle Re ectance Variation and Optimal Measures of Spectral Similarity for Vehicle Reacquisition and Tracking Algorithms.” 2016. Web. 16 Jul 2019.

Vancouver:

Svejkosky J. Hyperspectral Vehicle BRDF Learning: An Exploration of Vehicle Re ectance Variation and Optimal Measures of Spectral Similarity for Vehicle Reacquisition and Tracking Algorithms. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2019 Jul 16]. Available from: https://scholarworks.rit.edu/theses/9203.

Council of Science Editors:

Svejkosky J. Hyperspectral Vehicle BRDF Learning: An Exploration of Vehicle Re ectance Variation and Optimal Measures of Spectral Similarity for Vehicle Reacquisition and Tracking Algorithms. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9203


Penn State University

28. Gebhardt, Evan. Mimo Radar Through the Wall Imaging Techniques.

Degree: 2017, Penn State University

 There is a compelling need to both detect and localize targets through barriers. The ability to do this is advantageous for police, military, and search… (more)

Subjects/Keywords: Radar; Through-Wall-Radar; Wall Mitigation; Target Detection; SAR; MIMO; Virtual Array

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APA (6th Edition):

Gebhardt, E. (2017). Mimo Radar Through the Wall Imaging Techniques. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/13665etg5058

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gebhardt, Evan. “Mimo Radar Through the Wall Imaging Techniques.” 2017. Thesis, Penn State University. Accessed July 16, 2019. https://etda.libraries.psu.edu/catalog/13665etg5058.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gebhardt, Evan. “Mimo Radar Through the Wall Imaging Techniques.” 2017. Web. 16 Jul 2019.

Vancouver:

Gebhardt E. Mimo Radar Through the Wall Imaging Techniques. [Internet] [Thesis]. Penn State University; 2017. [cited 2019 Jul 16]. Available from: https://etda.libraries.psu.edu/catalog/13665etg5058.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gebhardt E. Mimo Radar Through the Wall Imaging Techniques. [Thesis]. Penn State University; 2017. Available from: https://etda.libraries.psu.edu/catalog/13665etg5058

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brigham Young University

29. Roberts, Adam Kaleo. Improvements, Algorithms and a Simulation Model for a Compact Phased-Array Radar for UAS Sense and Avoid.

Degree: MS, 2017, Brigham Young University

 Unmanned aerial systems (UAS) are an influential technology which can enhance life in multiple ways. However, they must be able to sense and operate safely… (more)

Subjects/Keywords: Sense and Avoid; Radar; FMCW Radar; Automatic Target Detection; SAFE Database; Electrical and Computer Engineering

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APA (6th Edition):

Roberts, A. K. (2017). Improvements, Algorithms and a Simulation Model for a Compact Phased-Array Radar for UAS Sense and Avoid. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7314&context=etd

Chicago Manual of Style (16th Edition):

Roberts, Adam Kaleo. “Improvements, Algorithms and a Simulation Model for a Compact Phased-Array Radar for UAS Sense and Avoid.” 2017. Masters Thesis, Brigham Young University. Accessed July 16, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7314&context=etd.

MLA Handbook (7th Edition):

Roberts, Adam Kaleo. “Improvements, Algorithms and a Simulation Model for a Compact Phased-Array Radar for UAS Sense and Avoid.” 2017. Web. 16 Jul 2019.

Vancouver:

Roberts AK. Improvements, Algorithms and a Simulation Model for a Compact Phased-Array Radar for UAS Sense and Avoid. [Internet] [Masters thesis]. Brigham Young University; 2017. [cited 2019 Jul 16]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7314&context=etd.

Council of Science Editors:

Roberts AK. Improvements, Algorithms and a Simulation Model for a Compact Phased-Array Radar for UAS Sense and Avoid. [Masters Thesis]. Brigham Young University; 2017. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7314&context=etd


University of Southern California

30. Kuo, Cheng-Hao. Multiple pedestrians tracking by discriminative models.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 We present our work on multiple pedestrians tracking in a single camera and across multiple non-overlapping cameras. We propose an approach for online learning of… (more)

Subjects/Keywords: adaboost; association-based tracking; detection-based tracking; discriminative models; multiple instance learning; mutli-target tracking

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APA (6th Edition):

Kuo, C. (2011). Multiple pedestrians tracking by discriminative models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4275

Chicago Manual of Style (16th Edition):

Kuo, Cheng-Hao. “Multiple pedestrians tracking by discriminative models.” 2011. Doctoral Dissertation, University of Southern California. Accessed July 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4275.

MLA Handbook (7th Edition):

Kuo, Cheng-Hao. “Multiple pedestrians tracking by discriminative models.” 2011. Web. 16 Jul 2019.

Vancouver:

Kuo C. Multiple pedestrians tracking by discriminative models. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Jul 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4275.

Council of Science Editors:

Kuo C. Multiple pedestrians tracking by discriminative models. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4275

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