DOI: 10.1016/j.jag.2016.07.012
Scopus记录号: 2-s2.0-84997605210
论文题名: Hyperspectral image-based analysis of weathering sensitivity for safety diagnosis of Seongsan Ilchulbong Peak
作者: Kim S ; , Kim H
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 485
结束页码: 501
语种: 英语
英文关键词: Hyperspectral image
; Remote Sensing
; Safety diagnosis
; Spectral normalization
; Weathering sensitivity index
Scopus关键词: image analysis
; multispectral image
; remote sensing
; sensitivity analysis
; spectral analysis
; UNESCO
; weathering
; World Heritage Site
英文摘要: This paper presents a weathering sensitivity analysis method for the safety diagnosis of Seongsan Ilchulbong Peak using hyperspectral images. Remote sensing-based safety diagnosis is important for preventing accidents in famous mountains. A hyperspectral correlation-based method is proposed to evaluate the weathering sensitivity. The three issues are how to reduce the illumination effect, how to remove camera motion while acquiring images on a boat, and how to define the weathering sensitivity index. A novel minimum subtraction and maximum normalization (MSM-norm) method is proposed to solve the shadow and specular illumination problem. Geometrically distorted hyperspectral images are corrected by estimating the borderline of the mountain and sea surface. The final issue is solved by proposing a weathering sensitivity index (WS-Index) based on a spectral angle mapper. Real experiments on the Seongsan Ilchulbong Peak (UNESCO, World Natural Heritage) highlighted the feasibility of the proposed method in safety diagnosis by the weathering sensitivity index. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80055
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Electronic Engineering, Yeungnam University, 280 Daehak-Ro, Gyeonsan, Gyeongbuk, South Korea
Recommended Citation:
Kim S,, Kim H. Hyperspectral image-based analysis of weathering sensitivity for safety diagnosis of Seongsan Ilchulbong Peak[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52