Digital terrain reconstruction and ortho-image computation by the method of facets stereo vision: tests with digitized aerial images

Jaan-Rong Tsay; Bernhard P. Wrobel; Ken K.C. Lo

doi:10.1117/12.182803

17 August 1994 Digital terrain reconstruction and ortho-image computation by the method of facets stereo vision: tests with digitized aerial images

Jaan-Rong Tsay, Bernhard P. Wrobel, Ken K.C. Lo

Author Affiliations +

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182803
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

In this paper, results of controlled experiments of digital terrain reconstruction and ortho image computation in a rural region in Taiwan, R.O.C., using digitized aerial images are presented. The reconstructed object surface by facets stereo vision (FAST Vision) is compared with the one that is measured by an operator on an analytical stereoplotter Wild BC1. The correctness and applicability of the models in FAST Vision were confirmed in these tests, but some limits of its models an deficiencies of the used photoscanner were found, too. These topics are discussed at some length in this paper, which covers the impact of different types of texture, the correctness of estimation of standard deviations of object surface, the impact of regularization and bridging method, reconstruction of break lines of surface and of grey value edges, and so on. All of this information gives very useful hints to improve this matching method.

Citation Download Citation

Jaan-Rong Tsay, Bernhard P. Wrobel, and Ken K.C. Lo "Digital terrain reconstruction and ortho-image computation by the method of facets stereo vision: tests with digitized aerial images", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182803

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