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航天矿床标志模型(SDS)是遥感技术在矿床勘探中应用的结果.在遥感数据(陆地卫星M S、TM和E TM+图像)解译、地质特征及金矿化类型研究的基础上,总结了不同控矿因素及其鉴别特征.通过如下步骤建立模型:1)选择适当的图像处理技术;2)研究主要控矿因素(构造、地层、蚀变);3)确定鉴别标志,建立矿床图像模型,优化找矿靶区.应用该模型优化靶区已获得成功.卫星影像处理显示,在3个区域(南带、中带、北带)具有反映金成矿的强烈蚀变特征.实地调查证明,这3个预测区具有金矿化,它们与常规勘探方法(地球物理、地球化学)发现的其他矿化相似.该模型在排山楼地区的应用结果表明,卫星数据在金矿普查中可以发挥重要作用.
The aerospace deposit sign model (SDS) is the result of the application of remote sensing technology in prospecting.Based on the interpretation of remote sensing data (terrestrial satellite MS, TM and E TM + images), geological characteristics and gold mineralization types, The ore-controlling factors and their distinguishing features are established through the following steps: 1) selecting the appropriate image processing technology; 2) studying the major ore-controlling factors (structure, stratigraphy and alteration); 3) identifying the identification marks, establishing a deposit image model, Optimizing the prospecting target area The application of this model to the optimization of the target area has been successful.Satellite image processing shows that there are strong alteration characteristics reflecting gold mineralization in three areas (south, middle and north belts) .The field investigation proves that The three prediction zones are gold mineralized and they are similar to other mineralizations found in conventional exploration methods (geophysics, geochemistry) .The application of this model in the Pai Shan Lou area shows that satellite data can play an important role in gold mine surveys effect.