An Improved SAM Classification with Direction of Irradiance and Its Application——The Studies on ETM Data

WANG Tao~1; LIU Shao-feng~2; YANG Jin-zhong~3; ZHAN Hua-ming~4; ZHANG An-ding~1

doi:10.11834/jrs.20070111

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An Improved SAM Classification with Direction of Irradiance and Its Application——The Studies on ETM Data
Issue 1, Pages: 77-84(2007)
Published：2007
DOI： 10.11834/jrs.20070111
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[1]王涛,刘少峰,杨金中,詹华明,张安定.改进的光谱角制图沿照度方向分类法及其应用——以ETM数据为例[J].遥感学报,2007(01):77-84. DOI： 10.11834/jrs.20070111.

WANG Tao~1, LIU Shao-feng~2, YANG Jin-zhong~3, et al. An Improved SAM Classification with Direction of Irradiance and Its Application——The Studies on ETM Data[J]. Journal of Remote Sensing, 2007, (1): 77-84. DOI： 10.11834/jrs.20070111.

摘要

选取多光谱遥感数据（ETM）对新疆北山西段中坡山笔架山一带进行了遥感蚀变信息提取方法研究。根据光谱角制图信息增强方法的优缺点

通过对光谱照度的研究

提出了结合光谱角分类方法进行沿光谱照度方向距离分类的信息提取方法。实验表明

该方法应用于ETM数据

增强了目标信息

同时剔除掉因照度所产生的大量非目标信息

为优化信息提供了一种有效的方法。在地形比较平坦的研究区取得了很好的应用效果。

Abstract

This paper took the western part of Beishan area in Xinjiang as an example to study the methods of extracting alteration information from multispectral remote sensing imagery.After studying advantages and disadvantages of spectral angle mapper（SAM）

a method has been developed which improves SAM classification with irradiance of objects.This method has been successfully employed to the extration of alteration information in the test areas.Comparing with spectral angle mapper method

this method is able to remove majority false anomly information.An effective method to remove false anomly information in multispectral remote sensing anomly information extraction has been developed.

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Research on multispectral-image-based NDVI shadow-effect-eliminating model