摘要
煤田自燃导致严重资源浪费,同时又引起大气污染、地表坍塌等灾害,遥感已成为检测煤火的一种重要途径。研究时采用MNF变换、多阈值密度分割、差值法提取煤火高温火点与普通热异常信息,并结合GIS定量分析。研究发现差值法适合提取高温火点信息,MNF变换可以很好的去除太阳辐射对地面温度的影像,并且能够很好地提取普通热异常信息,多阈值密度分割可以确定较高的亮温区域,三种方法综合运用就可以较准确的圈定煤火热异常区域,从而有效的监测地下煤火情况。
Coalmine spontaneous combustion has led to resources waste,meanwhile it also causes air pollution and some geological disasters.Now remote sensing is becoming an important approach to monitoring the coal fire.The high temperature ignition and common thermal anomaly points are extracted by three methods in this article that is multi-temporal MNF transformation,multi-threshold density slice and difference method.Combining with GIS the information of the coal fire extracted are qualified compared and analyzed,then find the best method to extract the high thermal anomaly points is the difference method,and the MNF transformation removes the solar influence very well,also it performs well in extracting the common thermal anomalies points.
出处
《中国煤炭地质》
2007年第3期6-9,16,共5页
Coal Geology of China
基金
国家自然科学基金项目(40671130)
关键词
遥感
热红外
MNF
变换
煤火信息
remote sensing
thermal infrared
MNF
transformation
coal fire
