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Proceedings Paper

Applying high resolution remote sensing image and DEM to falling boulder hazard assessment
Author(s): Changqing Huang; Wenzhong Shi; K. C. Ng
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Paper Abstract

Boulder fall hazard assessing generally requires gaining the boulder information. The extensive mapping and surveying fieldwork is a time-consuming, laborious and dangerous conventional method. So this paper proposes an applying image processing technology to extract boulder and assess boulder fall hazard from high resolution remote sensing image. The method can replace the conventional method and extract the boulder information in high accuracy, include boulder size, shape, height and the slope and aspect of its position. With above boulder information, it can be satisfied for assessing, prevention and cure boulder fall hazard.

Paper Details

Date Published: 2 December 2005
PDF: 8 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60452T (2 December 2005); doi: 10.1117/12.651823
Show Author Affiliations
Changqing Huang, Wuhan Univ. (China)
The Hong Kong Polytechnic Univ. (Hong Kong China)
Wenzhong Shi, The Hong Kong Polytechnic Univ. (Hong Kong China)
K. C. Ng, Government of the HKSAR (Hong Kong China)

Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

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