Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


osu1306250594.pdf (6.04 MB)

ETD Abstract Container

Abstract Header

Novel Approach to Epipolar Resampling of HRSI and Satellite Stereo Imagery-based Georeferencing of Aerial Images

Oh, Jaehong
http://rave.ohiolink.edu/etdc/view?acc_num=osu1306250594

Abstract Details

2011, Doctor of Philosophy, Ohio State University, Geodetic Science and Surveying.
The last decade saw major breakthroughs in geospatial image technology in both the spaceborne and in airborne domains. The commercial use of high-resolution satellites was enabled by the Presidential Decision Directive 23 issued by the Clinton Administration in 1994. High-performance large-format digital cameras have been replacing traditional large-format aerial film cameras. Both technologies are digital providing high image quality as well as efficient data acquisition capability. However, there are still significant technical challenges in exploiting these images in achieving high-accuracy 3D mapping performance. An ongoing challenge in high-resolution satellite image (HRSI) processing has been the establishment of accurate epipolar geometry which is a pivotal in any stereo-image processing for 3D topographic mapping. However, the pushbroom camera of most high-resolution satellites does not produce straight epipolar lines. Furthermore, the epipolar curve pair does not exist for the entire stereo image area. These properties make it difficult to establish the epipolar geometry of a pushbroom camera limiting accuracy of the epipolar image resampling. In this study, a new method of epipolar curve pair determination and epipolar image resampling of spaceborne pushbroom imagery is proposed. First, the new method determines the epipolar curve pairs. Next, accurate epipolar image resampling is achieved by arranging the determined epipolar curve pairs to satisfy the epipolar resampled image condition. In this research, the characteristics of epipolar curves in the image were investigated and the proposed approach was validated. The experimental results showed that the new method could not only successfully establish the epipolar curves over the entire stereo HRSI enabling the accurate epipolar image resampling, but showed superior results with better accuracy than the conventional method. In airborne imaging systems, alternative automated georeferencing is required to serve as a backup in case when GPS/INS-based (Global Positioning System/ Inertial Navigation System) georeferencing is not feasible. This is particularly important when the GPS signal availability is not assured jeopardizing the mapping accuracy; note that GPS is subject to interference and jamming. In this study, the potential of stereo HRSI as ground control information is investigated for georeferencing of aerial imagery. The use of a stereo HRSI can provide the 3D ground control information by restitution avoiding the apparent leaning of the on-ground objects in HRSI introducing positional errors. A robust and efficient image matching scheme based on SIFT (Scale-Invariant Feature Transform) and RANSAC (RANdom SAmple Consensus) was developed to handle image differences between aerial images and stereo HRSI. In the georeferencing step, the bundle adjustment with rigorous outlier removal is utilized. The proposed method was tested for a strip of aerial images and a stereo IKONOS images. The matching scheme was able to successfully extract 3D ground controls from the stereo IKONOS by mitigating the outliers. Georeferencing of aerial images that lack distinct features such as forest was possible by utilizing tie points to adjacent aerial images. The fully-automated approach has potential not only for aerial image georeferencing practically all over the world, including inaccessible areas, but also provides a good basis for image-based aerial navigation under GPS denied-conditions.
Dorota A. Grejner-Brzezinska (Advisor)
Alper Yilmaz (Committee Member)
Ralph R. von Frese (Committee Member)
Charles K. Toth (Committee Member)
236 p.
Civil Engineering; Computer Science; Geotechnology
Stereo; Epipolar; Resampling; High-Resolution; Satellite imagery; Aerial imagery; Georeferencing; GPS; INS

Recommended Citations

Citations

  • Oh, J. (2011). Novel Approach to Epipolar Resampling of HRSI and Satellite Stereo Imagery-based Georeferencing of Aerial Images [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306250594

    APA Style (7th edition)

  • Oh, Jaehong. Novel Approach to Epipolar Resampling of HRSI and Satellite Stereo Imagery-based Georeferencing of Aerial Images. 2011. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1306250594.

    MLA Style (8th edition)

  • Oh, Jaehong. "Novel Approach to Epipolar Resampling of HRSI and Satellite Stereo Imagery-based Georeferencing of Aerial Images." Doctoral dissertation, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306250594

    Chicago Manual of Style (17th edition)

osu1306250594
3,514
© 2011, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.