Paper
2 December 2005 Applying high resolution remote sensing image and DEM to falling boulder hazard assessment
Changqing Huang, Wenzhong Shi, K. C. Ng
Author Affiliations +
Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 60452T (2005) https://doi.org/10.1117/12.651823
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changqing Huang, Wenzhong Shi, and K. C. Ng "Applying high resolution remote sensing image and DEM to falling boulder hazard assessment", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60452T (2 December 2005); https://doi.org/10.1117/12.651823
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KEYWORDS
Image enhancement

Image processing

Binary data

Orthophoto maps

Fuzzy logic

Remote sensing

Image resolution

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