Classification and information extraction of plateau landform based on IRS-P6 satellite image
ZHANG Bing1,2, CUI Ximin2, WEI Rui1, SONG Baoping1, ZHAO Xuyang1
1. School of Resource and Environmental Science, Shijiazhuang University, Shijiazhuang 050035, China;
2. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
Compiling geomorphologic map by using remote sensing image has become a main method in the production of medium and small scale map because of its short period, high precision and the fact that it's easy to modify and quick to update. The purpose of this paper is to classify the plateau landform, extract the landform information and compile geomorphologic map by using higher resolution IRS-P6 satellite image in Tianjun County, Qinghai Province. Firstly, RS and GIS technology are used to process the remote sensing image and various sources reference data in order to unify them to the same GIS platform. Secondly, technological methods of the plateau landform information classification and the geomorphologic map compilation with large scale are illustrated in detail. Experiments and practice show that using RS and GIS technology platform can greatly reduce the difficulty of landscape classification and improve the speed and efficiency of landform information classification and map compilation.
张兵, 崔希民, 韦锐, 宋保平, 赵旭阳. 基于IRS-P6卫星影像的高原地貌分类与信息提取[J]. 国土资源遥感, 2016, 28(2): 120-125.
ZHANG Bing, CUI Ximin, WEI Rui, SONG Baoping, ZHAO Xuyang. Classification and information extraction of plateau landform based on IRS-P6 satellite image. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 120-125.
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2016, Vol. 28 
