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Proceedings Paper

DEM generation with PRISM/ALOS simulation data: a case study using airborne three-line scanner imagery
Author(s): Tianen Chen; Ryosuke Shibasaki; Fumio Shinohara; Cheng Wang
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Paper Abstract

For natural landscape, area-based matching can be successfully applied because the elevation is undulating rather gently. On the other hands, urban areas with the mixture of artificial structures such as buildings and natural landscape, where the elevation tends to have steeper changes, conventional area-based matching may not be successful. Many computer vision papers demonstrated matching methods based on features such as edge and regions extracted from images have much better performance for artificial structures. 2.5 m ground resolution of PRISM, however, may not be enough to extract detailed features enough to represent artificial structures. This may suggest the combination of area-based and feature-based matching approach can be more appropriate for ALOS PRISM data. This paper presents the results of experiments on the combination of the two approaches using simulated PRISM image generated from air-borne image sensor, TLS (Three Line Scanner).

Paper Details

Date Published: 4 January 2006
PDF: 7 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59854U (4 January 2006); doi: 10.1117/12.659399
Show Author Affiliations
Tianen Chen, Univ. of Tokyo (Japan)
Ryosuke Shibasaki, Univ. of Tokyo (Japan)
Fumio Shinohara, Huazhong Univ. of Science and Technology (China)
Cheng Wang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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