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通过加入地形因子进行相关光谱信息分区来提取蚀变信息,首先利用ASTER影像立体像对提取DEM,进行地形(坡向)划分,即分为阳坡、半阳坡、半阴坡、阴坡4类型,将相对应的区域统计其波谱信息,分为不同的波谱区,然后分别用主成分分析法提取蚀变信息。结果表明:波谱分区蚀变信息提取方法能够更加有效地识别出各个波谱区的蚀变异常信息,有效减小地形因素对蚀变信息提取结果的影响,并且在研究区得到很好的应用。
Firstly, the DEM was extracted by ASTER stereo pair and the topography (aspect) was divided into positive slope, semi-sunny slope, semi-sunny slope and shady slope 4 Type, the corresponding area statistics its spectral information, divided into different spectral regions, and then were used principal component analysis to extract alteration information. The results show that the method of spectral partitioning alteration information extraction can identify the alteration anomaly information of each spectral region more effectively, reduce the influence of topographic factors on the alteration information extraction results effectively, and get a good application in the study area.