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Proceedings Paper

Terrain reconstruction algorithm based on epipolar line rectification and dense matching
Author(s): Wenjuan Jiang; Yuan Gao; Jiayi Ma; Dazhi Zhang; Jinwen Tian
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Paper Abstract

Terrain reconstruction aims at acquiring height maps by detecting corresponding feature points from two or more down-looking remote sensing images. This paper proposes a terrain reconstruction algorithm based on epipolar line rectification and dense matching. At first, it uses fundamental matrix to rectify stereo images to make their epipolar lines parallel and remove the disparity in vertical direction. Then, dense matching based on grid method is applied, which can provide sufficient matching points to estimate disparity of the rectified images. Finally, the heights of the matched points can be calculated according to the obtained disparity and flight parameters. Experiments show that our algorithm can generate precise and reliable height maps for well depicting terrain features.

Paper Details

Date Published: 2 December 2011
PDF: 7 pages
Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80041I (2 December 2011); doi: 10.1117/12.903301
Show Author Affiliations
Wenjuan Jiang, Huazhong Univ. of Science and Technology (China)
Yuan Gao, Huazhong Univ. of Science and Technology (China)
Jiayi Ma, Huazhong Univ. of Science and Technology (China)
Dazhi Zhang, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8004:
MIPPR 2011: Pattern Recognition and Computer Vision
Jonathan Roberts; Jie Ma, Editor(s)

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