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目前地球资源卫星图象的地质解译已普遍开展,其中以线性及环形构造的解译与应用效果最为显著。但很难在图象上直接识别含矿岩系、蚀变带、矿床或矿化点(本文泛称矿点)的位置,而这一任务恰是勘探工作急需解决的重大课题。由于它们出露范围较小,特别是金属矿床一般仅为一或数个象元点,且常被植被部分掩盖,故在黑自卫星图象中难以直接观察。只有在进行过矿产信息提取并经彩色合成放大的图象中,才有可能使矿点直接显示出来。近年来,国
At present, geological interpretation of Earth resources satellite imagery has been carried out universally, among which linear and circular structures have the most obvious effect of interpretation and application. However, it is very difficult to directly identify the location of the ore-bearing rock series, alteration zones, ore deposits or mineralization points (commonly referred to as the ore spots) on the images, and this task is just a major issue urgently needed for exploration. Because of their small exposure, especially metal deposits are usually only one or a few pixel points, and are often covered by vegetation, so it is difficult to directly observe the black satellite images. It is only possible to make the ore point directly displayed in the image that has been extracted from mineral information and amplified by color synthesis. In recent years, the country