从遥感图象中提取出围岩蚀变信息，一直是资源遥感应用与评价的重点与难点．在光谱一空间匹配滤波的基础上，发展了基于光谱匹配的蚀变信息提取方法．该方法在0-均值空间，以标准光谱数据库中的矿物光谱为参考光谱矢量，根据图象像元与参考光谱矢量的匹配程度，建立滤波检测器，从光谱匹配的角度进行滤波以及合理的阈值化处理，分割出蚀变信息．以新疆东天山某金矿床和西藏冈底斯某铜矿带的ETM^ 数据为例，从图象背景中提取出与各自矿化相关的蚀变信息，部分蚀变组合分布信息与矿床位置吻合，从而反映该方法通用性较好．

It is very important and difficult to extract geological altered information using remote sensing data. The method of Spectral Match Filter(SMF) in this paper was developed according to Ref. . The altered mineral spectra selected from standard spectral database were thought of as reference spectral vector in 0 mean domain. The filtering detector is established owing to the match degree between very one pixel in multiple band images and reference spectral vector in 0 mean domains. The altered information are segmented using both SMF and suitable threshold processing. Both a gold deposit at Dongtianshan of Xinjiang and a porphyry copper belt at Gangdese of Xizang are selected as test areas. Some altered minerals are extracted from ETM + data using SMF. The result shows that the locations of some altered minerals or altered minerals' composition are consistent with mineral deposit or ore spot. And the result also suggests the method be in good generality.