Applying high resolution remote sensing image and DEM to boulder fall hazard assessing

Changqing Huang; Wenzhong Shi; K. C. Ng

doi:10.1117/12.651823

Applying high resolution remote sensing image and DEM to boulder fall hazard assessing

Changqing Huang, Wenzhong Shi, K. C. Ng

Research output: Journal article publication › Conference article › Academic research › peer-review

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.

Original language	English
Article number	60452T
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6045 II
DOIs	https://doi.org/10.1117/12.651823
Publication status	Published - 2005
Event	MIPPR 2005: Geospatial Information, Data Mining, and Applications - Wuhan, China Duration: 31 Oct 2005 → 2 Nov 2005

Keywords

Boulder Hazard Assessing
DEM
Image Extraction

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.651823

Cite this

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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.",

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N2 - 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.

AB - 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.

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JO - Proceedings of SPIE - The International Society for Optical Engineering

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Applying high resolution remote sensing image and DEM to boulder fall hazard assessing

Abstract

Keywords

ASJC Scopus subject areas

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