Alteration anomaly information extraction using hyperspectral remote sensing in coalbed methane enrichment

With rapid development of remote sensing technique, alteration anomaly information extraction on the earth's surface by remote sensing image is considered a fast and effective method to exploration. In this paper, firstly the geological background and data of study area are introduced. Secondly, based on the hydrocarbon micro-seepage theory the alteration information such as altered mineral, soil and vegetation in the coalbed methane enrichment is studied. The diagnostic hyperspectral characteristics of alteration anomalies are analyzed and identified combined the field measured spectra with library spectra. At last, the alteration anomaly information is extracted by Hyperion image. Consequently, the goal of enhancing the efficiency while reducing the exploration target area and cutting down the cost will be achieved.