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《Journal of Remote Sensing》 2009-01
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Sub-pixel mapping of remote sensed images based on evolutionary agent algorithm

WU Ke,LI Ping-xiang,ZHANG Liang-pei State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Hubei Wuhan 430079,China  
In remote sensed images,mixed pixels are always present.Soft classification defines the membership degree of these pixels for different land cover classes.Sub-pixel mapping is a technique designed to use the information contained in these mixed pixels to obtain a sharpened image.Pixels are divided into sub-pixels,representing the land cover class fractions.Evolutionary agent algorithms,combined with the assumption of spatial dependence,assign a location to every sub-pixel through two reactive behaviors which are breeding and diffusion.In the paper,the algorithm is tested on degraded synthetic and real imagery.The obtained accuracy measures are higher compared with conventional hard classifications,so it is proved to be a simple and effective method for sub-pixel mapping.
【CateGory Index】: TP751.1
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