The application of epipolar line in matching of linear CCD remote sensing images
| Autor: | ShiZhong Li, Gang Chen, JunFeng Yang, DanChao Gong, Li Zhang |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
business.industry
Epipolar geometry Computation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Stereo matching Geography Stereo image Computer Science::Computer Vision and Pattern Recognition Satellite image Epipolar line Radiometry Computer vision Artificial intelligence Fundamental matrix (computer vision) business Remote sensing |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.814898 |
| Popis: | Because of the unique geometry and radiometric characteristics of linear CCD satellite image pairs, methods developed for aerial or perspective image pairs cannot be applied. This paper proposed stereo matching algorithms taking the epipolar line of linear pushbroom sensors and scene geometry into account for satellite images. Firstly, the author puts forward the approximate line constraint method of dynamic epipolar line, and sets up constraint conditions of epipolar line in linear CCD stereo image matching, and proposes an imaging constraint method on the basis of application analysis of epipolar line, with imaging characteristics taken into account. The method can eliminate the distortion of geometry and make the primitives more prominent. At last we assess the performance of our strategy using real satellite image data. The results show we can increase the accuracy of image match and minimize the computation time with these techniques. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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