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You searched for +publisher:"The Ohio State University" +contributor:("Li, Rongxing"). Showing records 1 – 14 of 14 total matches.

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The Ohio State University

1. Lee, I-Chieh. Instantaneous Shoreline Extraction Utilizing Integrated Spectrum and Shadow Analysis From LiDAR Data and High-resolution Satellite Imagery.

Degree: PhD, Geodetic Science and Surveying, 2012, The Ohio State University

  Shoreline delineation and shoreline change detection are expensive processes in data source acquisition and manual shoreline delineation. These costs confine the frequency and interval… (more)

Subjects/Keywords: Civil Engineering; LiDAR; remote sensing; shoreline

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APA (6th Edition):

Lee, I. (2012). Instantaneous Shoreline Extraction Utilizing Integrated Spectrum and Shadow Analysis From LiDAR Data and High-resolution Satellite Imagery. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1345174939

Chicago Manual of Style (16th Edition):

Lee, I-Chieh. “Instantaneous Shoreline Extraction Utilizing Integrated Spectrum and Shadow Analysis From LiDAR Data and High-resolution Satellite Imagery.” 2012. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345174939.

MLA Handbook (7th Edition):

Lee, I-Chieh. “Instantaneous Shoreline Extraction Utilizing Integrated Spectrum and Shadow Analysis From LiDAR Data and High-resolution Satellite Imagery.” 2012. Web. 26 Nov 2020.

Vancouver:

Lee I. Instantaneous Shoreline Extraction Utilizing Integrated Spectrum and Shadow Analysis From LiDAR Data and High-resolution Satellite Imagery. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1345174939.

Council of Science Editors:

Lee I. Instantaneous Shoreline Extraction Utilizing Integrated Spectrum and Shadow Analysis From LiDAR Data and High-resolution Satellite Imagery. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1345174939


The Ohio State University

2. Wu, Rui. Integration of Orbital and Ground Data for Martian Crater Mapping: A Methodological Study at Santa Maria Crater.

Degree: MS, Civil Engineering, 2012, The Ohio State University

  High-quality mapping products for Martian craters are helpful data sources for scientists to explore the red planet in many fields. This thesis focuses on… (more)

Subjects/Keywords: Civil Engineering

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APA (6th Edition):

Wu, R. (2012). Integration of Orbital and Ground Data for Martian Crater Mapping: A Methodological Study at Santa Maria Crater. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1345439055

Chicago Manual of Style (16th Edition):

Wu, Rui. “Integration of Orbital and Ground Data for Martian Crater Mapping: A Methodological Study at Santa Maria Crater.” 2012. Masters Thesis, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345439055.

MLA Handbook (7th Edition):

Wu, Rui. “Integration of Orbital and Ground Data for Martian Crater Mapping: A Methodological Study at Santa Maria Crater.” 2012. Web. 26 Nov 2020.

Vancouver:

Wu R. Integration of Orbital and Ground Data for Martian Crater Mapping: A Methodological Study at Santa Maria Crater. [Internet] [Masters thesis]. The Ohio State University; 2012. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1345439055.

Council of Science Editors:

Wu R. Integration of Orbital and Ground Data for Martian Crater Mapping: A Methodological Study at Santa Maria Crater. [Masters Thesis]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1345439055

3. Choung, Yun Jae. Mapping levees for river basin management using LiDAR data and multispectral aerial orthoimages.

Degree: PhD, Geodetic Science and Surveying, 2014, The Ohio State University

 Mapping levees is important to assessing levee stability, identifying flood risks for the areas protected by levee systems, etc. Historically, mapping levees has been carried… (more)

Subjects/Keywords: Civil Engineering; Geographic Information Science; Geography; Land Use Planning; Levee, LiDAR, Multispectral orthoimages, Flood risks, Flood hazard map

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APA (6th Edition):

Choung, Y. J. (2014). Mapping levees for river basin management using LiDAR data and multispectral aerial orthoimages. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1393260770

Chicago Manual of Style (16th Edition):

Choung, Yun Jae. “Mapping levees for river basin management using LiDAR data and multispectral aerial orthoimages.” 2014. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1393260770.

MLA Handbook (7th Edition):

Choung, Yun Jae. “Mapping levees for river basin management using LiDAR data and multispectral aerial orthoimages.” 2014. Web. 26 Nov 2020.

Vancouver:

Choung YJ. Mapping levees for river basin management using LiDAR data and multispectral aerial orthoimages. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1393260770.

Council of Science Editors:

Choung YJ. Mapping levees for river basin management using LiDAR data and multispectral aerial orthoimages. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1393260770

4. Yan, Lin. REGION-BASED GEOMETRIC ACTIVE CONTOUR FOR CLASSIFICATION USING HYPERSPECTRAL REMOTE SENSING IMAGES.

Degree: PhD, Geodetic Science and Surveying, 2011, The Ohio State University

  The high spectral resolution of hyperspectral imaging (HSI) systems greatly enhances the capabilities of discrimination, identification and quantification of objects of different materials from… (more)

Subjects/Keywords: Remote Sensing; spectral-spatail classification; region-based active contour; hyperspectral; dimensionality reduction; locality-sensitive hashing; Laplacian eigenmaps

…2005 - 2010. . . . . . . . . . …..Graduate Research Associate at The Ohio State University… 

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APA (6th Edition):

Yan, L. (2011). REGION-BASED GEOMETRIC ACTIVE CONTOUR FOR CLASSIFICATION USING HYPERSPECTRAL REMOTE SENSING IMAGES. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1315344636

Chicago Manual of Style (16th Edition):

Yan, Lin. “REGION-BASED GEOMETRIC ACTIVE CONTOUR FOR CLASSIFICATION USING HYPERSPECTRAL REMOTE SENSING IMAGES.” 2011. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1315344636.

MLA Handbook (7th Edition):

Yan, Lin. “REGION-BASED GEOMETRIC ACTIVE CONTOUR FOR CLASSIFICATION USING HYPERSPECTRAL REMOTE SENSING IMAGES.” 2011. Web. 26 Nov 2020.

Vancouver:

Yan L. REGION-BASED GEOMETRIC ACTIVE CONTOUR FOR CLASSIFICATION USING HYPERSPECTRAL REMOTE SENSING IMAGES. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1315344636.

Council of Science Editors:

Yan L. REGION-BASED GEOMETRIC ACTIVE CONTOUR FOR CLASSIFICATION USING HYPERSPECTRAL REMOTE SENSING IMAGES. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1315344636

5. He, Shaojun. Integration of Multiple Sensors for Astronaut Navigation on The Lunar Surface.

Degree: PhD, Geodetic Science and Surveying, 2012, The Ohio State University

  During Apollo lunar surface traverses (e.g., Apollo 14), astronauts could not locate the geological target due to spatial disorientation, which substantially compromised science productivity,… (more)

Subjects/Keywords: Geographic Information Science; Lunar Surface Navigation; INS; Sensor Integration; Vision Sensors

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APA (6th Edition):

He, S. (2012). Integration of Multiple Sensors for Astronaut Navigation on The Lunar Surface. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1324496686

Chicago Manual of Style (16th Edition):

He, Shaojun. “Integration of Multiple Sensors for Astronaut Navigation on The Lunar Surface.” 2012. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324496686.

MLA Handbook (7th Edition):

He, Shaojun. “Integration of Multiple Sensors for Astronaut Navigation on The Lunar Surface.” 2012. Web. 26 Nov 2020.

Vancouver:

He S. Integration of Multiple Sensors for Astronaut Navigation on The Lunar Surface. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1324496686.

Council of Science Editors:

He S. Integration of Multiple Sensors for Astronaut Navigation on The Lunar Surface. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1324496686

6. Sukcharoenpong, Anuchit. Review of U.S. Tide-Coordinated Shoreline.

Degree: MS, Geodetic Science and Surveying, 2010, The Ohio State University

 Shoreline mapping is of critical importance for coastal communities. It supports nautical charting, coastal zone management, legal boundary determination, analyzing shoreline erosion and other threats… (more)

Subjects/Keywords: Geographic Information Science; Tide-coordinated shoreline; Shoreline mapping; LiDAR; Satellite imagery

…coordinated shoreline researches at the Ohio State University ... 78 4.4.1 Digital tide… …shoreline mapping research at the Ohio State University 83 4.4.2.1 Instantaneous shoreline from… …Researchers at the GIS and Mapping Laboratory at the Ohio State University also believe there are… 

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APA (6th Edition):

Sukcharoenpong, A. (2010). Review of U.S. Tide-Coordinated Shoreline. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1292053620

Chicago Manual of Style (16th Edition):

Sukcharoenpong, Anuchit. “Review of U.S. Tide-Coordinated Shoreline.” 2010. Masters Thesis, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1292053620.

MLA Handbook (7th Edition):

Sukcharoenpong, Anuchit. “Review of U.S. Tide-Coordinated Shoreline.” 2010. Web. 26 Nov 2020.

Vancouver:

Sukcharoenpong A. Review of U.S. Tide-Coordinated Shoreline. [Internet] [Masters thesis]. The Ohio State University; 2010. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1292053620.

Council of Science Editors:

Sukcharoenpong A. Review of U.S. Tide-Coordinated Shoreline. [Masters Thesis]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1292053620

7. Yuan, Jiangye. Remote Sensing Image Segmentation and Object Extraction Based on Spectral and Texture Information.

Degree: PhD, Geodetic Science and Surveying, 2012, The Ohio State University

  The increasing availability of remote sensing data and the growing demand on geoinformation for various kinds of spatial management issues have catalyzed the development… (more)

Subjects/Keywords: Computer Science; Geographic Information Science

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APA (6th Edition):

Yuan, J. (2012). Remote Sensing Image Segmentation and Object Extraction Based on Spectral and Texture Information. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1339169309

Chicago Manual of Style (16th Edition):

Yuan, Jiangye. “Remote Sensing Image Segmentation and Object Extraction Based on Spectral and Texture Information.” 2012. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339169309.

MLA Handbook (7th Edition):

Yuan, Jiangye. “Remote Sensing Image Segmentation and Object Extraction Based on Spectral and Texture Information.” 2012. Web. 26 Nov 2020.

Vancouver:

Yuan J. Remote Sensing Image Segmentation and Object Extraction Based on Spectral and Texture Information. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1339169309.

Council of Science Editors:

Yuan J. Remote Sensing Image Segmentation and Object Extraction Based on Spectral and Texture Information. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1339169309


The Ohio State University

8. Ali, Tarig Abdelgayoum. New methods for positional quality assessment and change analysis of shoreline features.

Degree: PhD, Civil Engineering, 2003, The Ohio State University

 In this dissertation, four positional quality measures for linear features presented by Ramirez (2000) were thoroughly investigated on shoreline features including Generalization Factor, Distortion Factor,… (more)

Subjects/Keywords: GEOGRAPHIC INFORMATION SYSTEMS; POSITIONAL QUALITY ASSESSMENT; SHORELINE FEATURES

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APA (6th Edition):

Ali, T. A. (2003). New methods for positional quality assessment and change analysis of shoreline features. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1070308923

Chicago Manual of Style (16th Edition):

Ali, Tarig Abdelgayoum. “New methods for positional quality assessment and change analysis of shoreline features.” 2003. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1070308923.

MLA Handbook (7th Edition):

Ali, Tarig Abdelgayoum. “New methods for positional quality assessment and change analysis of shoreline features.” 2003. Web. 26 Nov 2020.

Vancouver:

Ali TA. New methods for positional quality assessment and change analysis of shoreline features. [Internet] [Doctoral dissertation]. The Ohio State University; 2003. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1070308923.

Council of Science Editors:

Ali TA. New methods for positional quality assessment and change analysis of shoreline features. [Doctoral Dissertation]. The Ohio State University; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1070308923


The Ohio State University

9. Kim, Kee-Tae. Satellite mapping and automated feature extraction: geographic information system-based change detection of the Antarctic coast.

Degree: PhD, Geodetic Science and Surveying, 2004, The Ohio State University

  Declassified Intelligence Satellite Photograph(DISP) data are important resources for measuring the geometry of the coastline of Antarctica. By using the state-of-art digital imaging technology,… (more)

Subjects/Keywords: Engineering, Civil; coastline; ANTARCTIC; Glacier; 9059A; DISP; image

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APA (6th Edition):

Kim, K. (2004). Satellite mapping and automated feature extraction: geographic information system-based change detection of the Antarctic coast. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1072898409

Chicago Manual of Style (16th Edition):

Kim, Kee-Tae. “Satellite mapping and automated feature extraction: geographic information system-based change detection of the Antarctic coast.” 2004. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1072898409.

MLA Handbook (7th Edition):

Kim, Kee-Tae. “Satellite mapping and automated feature extraction: geographic information system-based change detection of the Antarctic coast.” 2004. Web. 26 Nov 2020.

Vancouver:

Kim K. Satellite mapping and automated feature extraction: geographic information system-based change detection of the Antarctic coast. [Internet] [Doctoral dissertation]. The Ohio State University; 2004. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1072898409.

Council of Science Editors:

Kim K. Satellite mapping and automated feature extraction: geographic information system-based change detection of the Antarctic coast. [Doctoral Dissertation]. The Ohio State University; 2004. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1072898409


The Ohio State University

10. Choung, Yunjae. Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data.

Degree: MS, Geodetic Science and Surveying, 2009, The Ohio State University

 Bluffline mapping is critical for estimation of shoreline movement, development ofcoastal zone, and protection of coastal properties and coastal environment. LiDARtechnology has been utilized in… (more)

Subjects/Keywords: Engineering; Blufflines; LiDAR; Delaunay triangulations

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APA (6th Edition):

Choung, Y. (2009). Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1251138890

Chicago Manual of Style (16th Edition):

Choung, Yunjae. “Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data.” 2009. Masters Thesis, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1251138890.

MLA Handbook (7th Edition):

Choung, Yunjae. “Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data.” 2009. Web. 26 Nov 2020.

Vancouver:

Choung Y. Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data. [Internet] [Masters thesis]. The Ohio State University; 2009. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1251138890.

Council of Science Editors:

Choung Y. Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data. [Masters Thesis]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1251138890


The Ohio State University

11. Xu, Fengliang. Mapping and localization for extraterrestrial robotic explorations.

Degree: PhD, Geodetic Science and Surveying, 2004, The Ohio State University

 In the exploration of an extraterrestrial environment such as Mars, orbital data can not replace the role of landers and rovers, which can provide a… (more)

Subjects/Keywords: Mars; Extraterrrestrial Exploration; Localization; Robot Navigation; Image Registration; Dynamic Programming; Markov Random Field; Mapping; Bundle Adjustment; Photogrammetry

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APA (6th Edition):

Xu, F. (2004). Mapping and localization for extraterrestrial robotic explorations. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1095695679

Chicago Manual of Style (16th Edition):

Xu, Fengliang. “Mapping and localization for extraterrestrial robotic explorations.” 2004. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095695679.

MLA Handbook (7th Edition):

Xu, Fengliang. “Mapping and localization for extraterrestrial robotic explorations.” 2004. Web. 26 Nov 2020.

Vancouver:

Xu F. Mapping and localization for extraterrestrial robotic explorations. [Internet] [Doctoral dissertation]. The Ohio State University; 2004. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1095695679.

Council of Science Editors:

Xu F. Mapping and localization for extraterrestrial robotic explorations. [Doctoral Dissertation]. The Ohio State University; 2004. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1095695679


The Ohio State University

12. Niu, Xutong. Highway extraction from high resolution aerial photography using a geometric active contour model.

Degree: PhD, Geodetic Science and Surveying, 2004, The Ohio State University

  Highway extraction and vehicle detection are two of the most important steps in traffic-flow analysis from multi-frame aerial photographs. The traditional method of deriving… (more)

Subjects/Keywords: Remote Sensing; Geodesy; Highway Extraction; Geometric Active Contour; Image Processing

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APA (6th Edition):

Niu, X. (2004). Highway extraction from high resolution aerial photography using a geometric active contour model. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1101833084

Chicago Manual of Style (16th Edition):

Niu, Xutong. “Highway extraction from high resolution aerial photography using a geometric active contour model.” 2004. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1101833084.

MLA Handbook (7th Edition):

Niu, Xutong. “Highway extraction from high resolution aerial photography using a geometric active contour model.” 2004. Web. 26 Nov 2020.

Vancouver:

Niu X. Highway extraction from high resolution aerial photography using a geometric active contour model. [Internet] [Doctoral dissertation]. The Ohio State University; 2004. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1101833084.

Council of Science Editors:

Niu X. Highway extraction from high resolution aerial photography using a geometric active contour model. [Doctoral Dissertation]. The Ohio State University; 2004. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1101833084


The Ohio State University

13. Ma, Ruijin. Building model reconstruction from lidar data and aerial photographs.

Degree: PhD, Geodetic Science and Surveying, 2005, The Ohio State University

 The objective of this research is to reconstruct 3D building models from imagery and LIDAR data. The images used are stereo aerial photographs with known… (more)

Subjects/Keywords: Engineering, General; LIDAR; LIDAR DATA; BUILDING MODEL; DSM; DTM; roof

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APA (6th Edition):

Ma, R. (2005). Building model reconstruction from lidar data and aerial photographs. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1104114425

Chicago Manual of Style (16th Edition):

Ma, Ruijin. “Building model reconstruction from lidar data and aerial photographs.” 2005. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1104114425.

MLA Handbook (7th Edition):

Ma, Ruijin. “Building model reconstruction from lidar data and aerial photographs.” 2005. Web. 26 Nov 2020.

Vancouver:

Ma R. Building model reconstruction from lidar data and aerial photographs. [Internet] [Doctoral dissertation]. The Ohio State University; 2005. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1104114425.

Council of Science Editors:

Ma R. Building model reconstruction from lidar data and aerial photographs. [Doctoral Dissertation]. The Ohio State University; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1104114425


The Ohio State University

14. Hwangbo, Ju Won. Integration of Orbital and Ground Imagery for Automation of Rover Localization.

Degree: PhD, Geodetic Science and Surveying, 2010, The Ohio State University

 Rover localization is essential to the exploration of space. The availability of sub-meter resolution satellite imagery, especially High Resolution Imaging Science Experiment (HiRISE) onboard the… (more)

Subjects/Keywords: Engineering; Robots; Scientific Imaging; Technology; Photogrammetry; image processing; rover localization

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APA (6th Edition):

Hwangbo, J. W. (2010). Integration of Orbital and Ground Imagery for Automation of Rover Localization. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1276835399

Chicago Manual of Style (16th Edition):

Hwangbo, Ju Won. “Integration of Orbital and Ground Imagery for Automation of Rover Localization.” 2010. Doctoral Dissertation, The Ohio State University. Accessed November 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276835399.

MLA Handbook (7th Edition):

Hwangbo, Ju Won. “Integration of Orbital and Ground Imagery for Automation of Rover Localization.” 2010. Web. 26 Nov 2020.

Vancouver:

Hwangbo JW. Integration of Orbital and Ground Imagery for Automation of Rover Localization. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2020 Nov 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1276835399.

Council of Science Editors:

Hwangbo JW. Integration of Orbital and Ground Imagery for Automation of Rover Localization. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1276835399

.