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《ACTA GEODAETICA ET CARTOGRAPHIC SINICA》 1997-04
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KNOWLEDGE BASED IMAGE CLASSIFICATION APPROACH SUPPORTED BY A GIS

Zhu Honglei (LREIS, Institute of Geography, Beijing, 100101) Mao Zanyou (Institute of Remote Sensing and GIS, Beijing University, Beijing, 100871)  
To improve remotely sensed imagery classification accuracy is one of the main topics in the field of remote sensing application research. Integrating geographic data, interpretation knowledge used by expert, a new method was proposed. In classification procedures, DEM, slope and previous land use data were used as well as imagery, knowledge was represented by rules. The method has been approved to be effective to improve the classification accuracy compared to a Maximum Likelihood Classifier.
【Fund】: 国家自然科学基金
【CateGory Index】: P208;TP751
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5 Xiao Dan~1 An Yulun~2 Xiong Kangning~(2*) (1.School of Economics and Management,Guizhou College of Finance and Economics,Guiyang,Guizhou, 550004,China 2.School of Geography and Biology Sciences,Guizhou Normal University,Guiyang,Guizhou, 550001,China 3.Institute of South China Karst,Guizhou Normal University,Guiyang,Guizhou,550001.China);A Study on the Interpretation and Pattern of the Karst Landscape under the Support of 3S Techniques——With a Special Reference to Qingzhen City in Guizhou Province[A];[C];2009
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