Open Access Theses and Dissertations

Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · date | New search

You searched for +publisher:"NSYSU" +contributor:("Liang-hui Lee"). Showing records 1 – 3 of 3 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


NSYSU

1. Huang, Han-che. The Study of Aerial Imageries Stitching Based on SIFT Algorithm.

Degree: Master, Marine Environment and Engineering, 2009, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648 

The ultimate goal of the development of aerial photogrammery is to acquire rapidly and accurately the ground measurements. However, traditional photogrammetric technologies, particularly in the continuous digital images stitching technique, is still very limited. In the past, the ground control points were used as the references for the image registration, however, it is very time and resource consuming, as well as human visual capability constraint. Accuracy and efficiency are two key factors which need to be enhanced to meet the practical requirement for aerial imageries stitching. The SIFT (Sale Invariant Feature Transform) algorithm was used in the computer vision to perform feature extraction in good condition. The extracted SIFT features are invariant to image scale, rotation, noise and change in illumination, and it is a robust and abundant feature extraction algorithm. SIFT algorithm extracts feature points from multi-scale space. For a large scale aerial image containing huge amount of image contents, it will spend a lot of time to extract features from imagery. Therefore, this study proposes a new method, called Inter-Grid Down-Sampling (IGDS) method, to reduce the image size and relative amount of image information to improve the computing efficiency. The correspondent extracted features are matched in the adjacent images with additional RANSAC outlier removal procedure to select correct and characteristic feature points. Finally the Hugin-Panorama Photo Stitching software is used to stitch all the continuous photogrammetric images for producing a panorama imagery of all flight lines. The experiment results indicate that sub-pixel accuracy for extracted feature points can be obtained when the down-sampling factor 3 was selected for the IGDS method, and it only needs half of the computing time. Compared to the Nearest-Neighbor Interpolation and Cubic Interpolation methods to reduce the image size, the IGDS method can increase more feature extraction efficiency without scarifying the location accuracy. When threshold value for SIFT was set between 0.4 to 0.6, we can achieve the largest correct matching rate. In addition, the RANSAC outlier removal procedure can effectively select the best matching feature points both in numbers and locations. For image stitching, the Hugin-panorama photo stitching software can effectively be used to match feature points and do geometric correction and color adjustment to obtain a consistent panorama imagery. Finally, the proposed method in this study can derive a low-variant in resolution and measurements significance for a stitching image from continuous aerial images. Advisors/Committee Members: Yi-hsing Tseng (chair), Shiahn-wern Shyue (committee member), Ming-jer Huang (committee member), Liang-hui Lee (chair), Tien-yaun Shih (chair).

Subjects/Keywords: Hugin-Panorama Photo Stitching software; Aerial Photogrammetry; Image Stitching; SIFT; Inter-Grid Down-Sampling (IGDS) method

Record Details  Similar Records    Google PlusoneFacebookTwitterCiteULikeMendeleyreddit

❌

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

APA (6th Edition):

Huang, H. (2009). The Study of Aerial Imageries Stitching Based on SIFT Algorithm. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648

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):

Huang, Han-che. “The Study of Aerial Imageries Stitching Based on SIFT Algorithm.” 2009. Thesis, NSYSU. Accessed December 11, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648.

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

MLA Handbook (7th Edition):

Huang, Han-che. “The Study of Aerial Imageries Stitching Based on SIFT Algorithm.” 2009. Web. 11 Dec 2019.

Vancouver:

Huang H. The Study of Aerial Imageries Stitching Based on SIFT Algorithm. [Internet] [Thesis]. NSYSU; 2009. [cited 2019 Dec 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648.

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

Council of Science Editors:

Huang H. The Study of Aerial Imageries Stitching Based on SIFT Algorithm. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648

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


NSYSU

2. Tseng, Jen-ping. A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources.

Degree: Master, Marine Environment and Engineering, 2010, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813 

Image Registration plays a very important role in the field of remote sensing. In order to have a better registration quality and make the automatization possible, choos ing and matching the control points from conjugate images become very important. In fact, the control points required for image registration should have following three key factors, that is, the amount, validity and distribution of control points. ããIn the study, we take QuickBird Satellite Images as the main ones; on the other hand, it conducts two groups of image registrations resulted from aerial images at various times. After detecting feature points using different algorithms, the study makes use of feature matching methods to get conjugate points between two overlapped images. The algorithms used above are SIFT, ASIFT and MESR. SIFT is an algorithm which invariant to scales, rotation, affine stretch and change in brightness. ASIFT undertakes simulations based on the theory of SIFT and thus carries out fully affine invariant. The feature points obtained from MSER have physical meaning in its location. By using feature matching algorithms like K-d tree and BBF, the matched feature points from two overlapped images would be turned into the conjugate points which can be control points for image registration. ããDuring the process of image preprocessing, it is learned that the feature points detected by SIFT and MSER through feature matching are very few. Hence, this study attempts to employ histogram specificationãcontrast stretching and scale change methods to see if it is helpful to the feature detections and matching through change of image quality and image size. The experiment found that scale change will improve both the amount and accuracy of conjugate points detected by different algorithms. When considering distribution of the feature points, the study takes advantage of image cropping approach to conduct feature detections and matching individually. It is found that more conjugate points with uniform distribution can be obtained via image cropping technique. Advisors/Committee Members: Ming-Jer Huang (chair), Tien-Yuan Shih (chair), Yi-Hsin Tseng (chair), Liang-Hui Lee (chair), Shiahn-Wern Shyue (committee member).

Subjects/Keywords: SIFT; ASIFT; MSER; Image registration

Record Details  Similar Records    Google PlusoneFacebookTwitterCiteULikeMendeleyreddit

❌

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

APA (6th Edition):

Tseng, J. (2010). A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813

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):

Tseng, Jen-ping. “A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources.” 2010. Thesis, NSYSU. Accessed December 11, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813.

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

MLA Handbook (7th Edition):

Tseng, Jen-ping. “A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources.” 2010. Web. 11 Dec 2019.

Vancouver:

Tseng J. A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 Dec 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813.

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

Council of Science Editors:

Tseng J. A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813

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


NSYSU

3. Sher, Chain-wei. Use GeoVRMLãROAM Algorithm and Data Compression to Display 3D GIS.

Degree: Master, Marine Environment and Engineering, 2004, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0212104-094829 

Digital Earth is a kind of GIS application which use lots of computer techniques, including âComputer Graphicâ, âHigh quality Satellite Imageâ, âMulti-resolutionâ, â Metadataâ, âLevel of detailâ, etc. In the past, geographers always tend to use triangle or grid structure to build 3D GIS. Now 3D GIS tend to use VRML to display virtual terrain data. Nevertheless, this display method is short of three-dimension analysis. It just uses 2.5 dimension to simulate 3 dimension space structure. This thesis is base on the theory of GeoVRML Quad-tree structure and use JAVA to implement ROAM algorithm. And this method can improve Quad-tree structure morphing error and raise virtual terrain display speed. This thesis use ETOPO5 5-minute DTM data to build Earth model (provide by NGDC) and Taiwan 40M DTM data, 200M, 100M, 50M, 25M satellite image to build Taiwan 3D GIS model. Meanwhile, this thesis addresses an unique three level structure to display 3D GIS model. One is Satellite Image layer, one is virtual terrain layer, and last one is 3D feature object. Advisors/Committee Members: Tian-Yuan Shih (chair), Yung-Fang Chiu (chair), Shiahn-Wern Shyue (committee member), Yi-Hsing Tseng (chair), LIANG-HUI LEE (chair).

Subjects/Keywords: ROAM; LOD; GeoVRML; 3D GIS

Record Details  Similar Records    Google PlusoneFacebookTwitterCiteULikeMendeleyreddit

❌

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

APA (6th Edition):

Sher, C. (2004). Use GeoVRMLãROAM Algorithm and Data Compression to Display 3D GIS. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0212104-094829

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):

Sher, Chain-wei. “Use GeoVRMLãROAM Algorithm and Data Compression to Display 3D GIS.” 2004. Thesis, NSYSU. Accessed December 11, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0212104-094829.

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

MLA Handbook (7th Edition):

Sher, Chain-wei. “Use GeoVRMLãROAM Algorithm and Data Compression to Display 3D GIS.” 2004. Web. 11 Dec 2019.

Vancouver:

Sher C. Use GeoVRMLãROAM Algorithm and Data Compression to Display 3D GIS. [Internet] [Thesis]. NSYSU; 2004. [cited 2019 Dec 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0212104-094829.

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

Council of Science Editors:

Sher C. Use GeoVRMLãROAM Algorithm and Data Compression to Display 3D GIS. [Thesis]. NSYSU; 2004. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0212104-094829

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

.