Study on oil and gas exploration in sparse vegetation areas by hyperspectral remote sensing data  

作　　者：李倩倩 陈小梅 刘幸 毛冰晶 倪国强 

机构地区：[1]School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China [2]Key Laboratory of Photo-electronic Imaging Technology and System,Ministry of Education of China, Beijing 100081, China

出　　处：《Chinese Optics Letters》2012年第B06期69-71,共3页中国光学快报（英文版）

摘　　要：Oil microleakage can cause the land surface vegetation to be abnormal. An oil and gas exploration method based on the vegetation information in the hyperspectral remote sensing images is proposed. It＇s used to probe the effectiveness of extracting the oil and gas microleakage information, with the vegetation anomalies in the remote sensing images. A decision tree based on the vegetation index is taken to extract the anomalies areas of vegetation in the CASI images. It＇s shown by the experiment that there are some notential for the exploration of oil and gas in the areas covered by sparse vegetations.Oil microleakage can cause the land surface vegetation to be abnormal. An oil and gas exploration method based on the vegetation information in the hyperspectral remote sensing images is proposed. It＇s used to probe the effectiveness of extracting the oil and gas microleakage information, with the vegetation anomalies in the remote sensing images. A decision tree based on the vegetation index is taken to extract the anomalies areas of vegetation in the CASI images. It＇s shown by the experiment that there are some notential for the exploration of oil and gas in the areas covered by sparse vegetations.

分 类 号：P618.130.8[天文地球—矿床学] Q948.15[天文地球—地质学]