DOI: 10.1016/j.jag.2014.03.007
Scopus记录号: 2-s2.0-84904469045
论文题名: Lithological mapping from hyperspectral data by improved use of spectral angle mapper
作者: Zhang X ; , Li P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 31, 期: 1 起始页码: 95
结束页码: 109
语种: 英语
英文关键词: Hyperspectral data
; Lithological mapping
; Matched filtering
; Spectral angle mapper
; Spectral variability
Scopus关键词: accuracy assessment
; arid environment
; data acquisition
; Hyperion
; lithology
; mapping method
; multispectral image
; pixel
; remote sensing
; spectral resolution
英文摘要: The spectral angle mapper (SAM), as a spectral matching method, has been widely used in lithological type identification and mapping using hyperspectral data. The SAM quantifies the spectral similarity between an image pixel spectrum and a reference spectrum with known components. In most existing studies a mean reflectance spectrum has been used as the reference spectrum for a specific lithological class. However, this conventional use of SAM does not take into account the spectral variability, which is an inherent property of many rocks and is further magnified in remote sensing data acquisition process. In this study, two methods of determining reference spectra used in SAM are proposed for the improved lithological mapping. In first method the mean of spectral derivatives was combined with the mean of original spectra, i.e., the mean spectrum and the mean spectral derivative were jointly used in SAM classification, to improve the class separability. The second method is the use of multiple reference spectra in SAM to accommodate the spectral variability. The proposed methods were evaluated in lithological mapping using EO-1 Hyperion hyperspectral data of two arid areas. The spectral variability and separability of the rock types under investigation were also examined and compared using spectral data alone and using both spectral data and first derivatives. The experimental results indicated that spectral variability significantly affected the identification of lithological classes with the conventional SAM method using a mean reference spectrum. The proposed methods achieved significant improvement in the accuracy of lithological mapping, outperforming the conventional use of SAM with a mean spectrum as the reference spectrum, and the matching filtering, a widely used spectral mapping method. © Elsevier B.V. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79753
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing 100871, China
Recommended Citation:
Zhang X,, Li P. Lithological mapping from hyperspectral data by improved use of spectral angle mapper[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,31(1)