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《Science of Surveying and Mapping》 2011-03
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Object-oriented features space optimization of high spatial resolution remote sensing image

ZHANG Jun①,YU Qing-guo①,ZHU Xiao-dong②,LIU Kai①(①No.3 Topographic Survey Team of SBSM,Harbin 150081,China;②Heilongjiang Geomatics Center of SBSM,Harbin 150081,China)  
In this paper,object-oriented features space optimization of high spatial resolution remote sensing image classification was discussed.Two different groups of features space were optimized by 46 and 4 features from 57 and 28 disparate texture,shape and structure information of image objects,and were used to extract information by two different object-oriented classification strategies: K nearest neighbor classification,cascade connection of fuzzy classification and K nearest neighbor classification.The experiment results were compared on the aspects of rationality,efficiency and precision,which showed that features space optimization of each classification was time-consuming and improper,and the extraction effect of cascade connection classification strategy increased significantly.
【Fund】: 西部测图项目;; 国家自然科学基金重点项目(50534050) 国家自然科学基金资助项目(50774080)
【CateGory Index】: TP751
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