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《Remote Sensing Technology and Application》 2011-01
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Progress on Sub-pixel Mapping Methods for Remotely Sensed Images

REN Wu1,2,GE Yong1(1.State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)  
Mixed pixels commonly exist in remote sensing images.They may cause difficulties to process and analyze the remote sensing images.Sub-pixel mapping method is used to solve the problem of mixed pixels.It can obtain more accurate results for image classification and more details of distribution of land cover classes.There are always three steps to preform the sub-pixel mapping:① unmixing the mixed pixel;② obtaining the soft information;③ mapping at sub-pixel scale.This paper described the details about the sub-pixel mapping method in recent years and reviewed the development of these sub-pixel mapping methods.These methods can be classified into four types:① Spatial correlation-based sub-pixel mapping;② spatial construct information-based sub-pixel mapping;③ article neural network-based sub-pixel mapping;④ pixel swapping-based sub-pixel mapping.Then these methods are contrasted and analyzed as well.Finally,a trend for development of sub-pixel mapping is given in the conclusion.
【Fund】: 国家自然科学基金项目(40971222);; 国家863重点项目(2006AA120106)资助
【CateGory Index】: TP751
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