The area, western Guangxi—southeastern Yunnan, is highly covered by dense vegetation.Generally it is very difficult to detect Manganese information in the area coved with dense vegetation by using RS method. As iron and manganese are paragenesis deposits, gossan anomaly was used to detect the alteration and mineralization by RS and applied to search the manganese. Manganese oxide is the mineral containing water,which is the hydroxyl compound. The rocks of Mn—ore are mudstone, limestone and so on. The manganese alteration of RS anomaly is explored by Principal component analysis (PCA) method.Gossan anomaly can be enhanced by the fourth component of the PCA result which combined by the bands of TM1, TM4, TM5 and TM7. Hydroxyl anomaly can be enhanced by the fourth component of the PCA result, which combined by the bands of TM1, TM3, TM4 and TM5. If a component with a inversing eigenvaluse matrix with the seventh component, which can be used to enhance the information of mudstone and limestone. Finally, spectral angel mapping (SAM) is used to interprete Mn monoxide based on the RS images. The result is highly consistent to the locations of the confirmed Mn—ore. The outcomes prove that the employed methods in the paper are significant to identify manganese information at highly vegetation covered region.%桂西-滇东南区域植被覆盖茂盛,高覆盖的植被遥感信息相对于地质遥感信息而言是一个很强的干扰.本文以桂西-滇东南的锰矿化信息较为丰富、植被覆盖度高的下雷-大新区域TM遥感影像为例,利用基于主成分变换的铁染遥感异常信息、羟基异常信息和泥岩碳酸岩异常遥感信息提取,以及基于SAM和实地地物光谱测量的基础上提取的氧化锰露头的遥感信息,研究结果与已知锰矿化信息的空间分布区域有较高的吻合度.研究结果表明,本文的研究方法对于遥感找锰矿的宏观靶区框选有较高的参考价值.
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