TRIPLE EPIPOLAR IMAGES GENERATION AND MATCHING IN TRISTEREO IMAGING ON THE SAME ORBIT MODE

This paper proposed the method to generate triple epipolar images in tristereo imaging on the same orbit mode. It generated projection tie points based on double projection surface in object space, and designed conversion model from epipolar images to its corresponding original images on the basis o...

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Bibliographic Details
Published in:International archives of the photogrammetry, remote sensing and spatial information sciences. remote sensing and spatial information sciences., 2022-01, Vol.XLIII-B2-2022, p.501-508
Main Authors: Yue, Q., Tang, X.
Format: Article
Language:English
Subjects:
Archives & records
Coordinate transformations
Geometric constraints
Image processing
Imaging techniques
Matching
Methods
Occlusion
Optimization
Projection
Remote sensing
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Summary:This paper proposed the method to generate triple epipolar images in tristereo imaging on the same orbit mode. It generated projection tie points based on double projection surface in object space, and designed conversion model from epipolar images to its corresponding original images on the basis of projection tie points and created the RPC of epipolar images. During stereo matching one stereo image pairs are used as the basic pair and proposed the rapid transformation model between the current matching points and the corresponding point on the third image, which accomplished the combination of epipolar stereo matching and object space geometric constraints. After left/right bidirectional matching and occlusion area checking, a third matching was implemented. The cost of occlusion area will use the smallest one among the three and these areas were revamped. SGM was used as the optimization strategy. Experiments in three typical areas using Pleiades and ZY-3 as data recourses show that the loss of precision is negligible in the proposed epipolar image generation method. The proposed matching method combines the best of both object geometric constraint method and isolate epipolar image pair method, and the computational efficiency significantly better than these two methods. Lastly, the precision of the proposed method is significantly better than these two methods in building area and weak texture area.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLIII-B2-2022-501-2022