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《Science of Surveying and Mapping》 2010-05
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Texture-based segmentation for remotely sensed imagery

LIN Xiao-ping①,MAO Zheng-yuan①,LIU Jian-hua②(①Spatial Information Research Center of Fujian Province,Fuzhou University,Fuzhou 350002,China;②Fujian Normal University Geography College,Fuzhou 350108,China)  
Image segmentation is the basis of object-oriented classification approach which applies in automatically extracting information from remotely sensed imagery.Texture is the basic feature of imagery and important information to analyze,understand and recognize imagery.Effective representation and extraction of image texture is indispensable in a texture-based segmentation of imagery.This article gave an overview of the texture-based segmentation methods for remotely sensed imagery,which are frequently utilized in scientific literature.Each of the methods was systematically analyzed and summarized which include statistics-based,texture-structure-based,model-based and spatial/frequency-based.The research tendency of this field was proposed based on the above mentioned study conclusion.
【Fund】: 国家973计划项目(2006CB708306);; 国家自然科学基金项目(40871206)
【CateGory Index】: TP751
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