【摘要】 利用TM图像,结合区域实测、地质和区域能源分布资料,分析了煤田煤层自燃的光谱特征,对煤田地火燃烧区进行定位;在此基础上对新疆拜城地区TM图像进行线性变换、边界增强、波段运算、多波段假彩色合成等增强处理,识别并提取影像中煤田煤层自燃引起的地表热信息、地表植被异常和岩石烧变信息等,通过分析达到探测煤田火区的目的。更多还原

【Abstract】 According to the TM image in Baicheng of Xinjiang as well as the information of geology and mineral resources, the coal self-combustion zone in the Baicheng coalfield was delineated. On such a basis, together with an analysis of the spectral character, the authors adopted various enhancement measures such as linear transform, edge enhancement, band calculation and synthesis of multi-band pseudo colors, which led to the identification of the abnormal information of the ground, vegetation and burnt rocks caused by the coal fire in the Baicheng coalfield. The result of the study has provided reliable basis for detecting the coal self-combustion zone.更多还原