In the vegetation area, to extract mineralization information from remote sensing data is still great difficult at present. This paper, based on the theory of remote sensing biogeochemistry, introduces how to extract the abnormal information of structure, alteration and vegetation from multi-source remote sensing data. The gold prospective areas were successfully selected, and its reliability was tested and verified by field work. This provides a new way for solving the similar problem.
马跃良, 徐瑞松. 应用遥感信息优选海南南部金矿远景区的研究[J]. 国土资源遥感, 1997, 9(4): 33-38,53.
Ma Yueliang, Xu Ruisong . OPTIMIZATION STUDY OF GOLD PROSPECT AREAS IN THE SOUTHERN OF HAINAN PROVENCE USING REMOTE SENSING INFORMATION. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(4): 33-38,53.