A Water Information Extraction Method Based on WorldView II
Remote Sensing Image in Tungsten Ore Districts: A Case Study of of Dayu County in Jiangxi Province
SONG Qi-fan 1, WANG Shao-jun 1, ZHANG Zhi 1,2, WANG Peng 3, AN Ping 1
(1.The Faculty of Earth Science, China University of Geosciences, Wuhan 430074, China; 2.Department for Crust Dynamics & Deep Space Exploration, National Remote Sensing Center of China, Wuhan 430074, China; 3.College of Mining Technology, Taiyuan University of Technology, Taiyuan 030021, China)
Abstract: Taking the tungsten ore district of Dayu County in Jiangxi Province as an example,the authors analyzed the parameters and relationship between the WorldView II bands,selected the best bands for the information extraction of water in the study area,and tested and analyzed a variety of fusion methods to access the suitable fusion method that uses WorldView II image to extract the water information in the ore district. The water information in the ore district was extracted by calculating NDWI,analyzing spectral relations between different bands,and making supervised classification. The interpretation accuracies of NDWI, Spectral Relation Act and supervised classification were tested by visual interpretation. The interpretation results were revised to attain the accuracy of 92%,and the field verification accuracy can reach 90%,which meets the requirements of the work.
宋启帆, 王少军, 张志, 王鹏, 安萍. 基于WorldView II图像的钨矿区水体信息提取方法研究——以江西大余县为例[J]. 国土资源遥感, 2011, 23(2): 33-37.
SONG Qi-Fan, WANG Shao-Jun, ZHANG Zhi, WANG Peng, AN Ping. A Water Information Extraction Method Based on WorldView II
Remote Sensing Image in Tungsten Ore Districts: A Case Study of of Dayu County in Jiangxi Province. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 33-37.