Computer Science ›› 2015, Vol. 42 ›› Issue (5): 51-53.doi: 10.11896/j.issn.1002-137X.2015.05.010

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Object-oriented Remote Sensing Image Classification Based on GEPSO Model

WANG Wei-hong, YAN Lu-qin, JIN Dan-dan, XU Wen-tao and LI Qu   

  • Online:2018-11-14 Published:2018-11-14

Abstract: According to the optimization capability of evolutionary algorithms,we proposed an object-oriented remote sensing image classification method based on GEPSO(GEP Optimized by PSO,GEPSO)model.Firstly,image segmentation was done, feature set was selected for the remote sensing image,and then uses GEPSO algorithm was used to construct a class center for each type of image objects.The process of constructing class centers firstly makes use of GEP to search a suboptimal solution,and then uses PSO to search the optimal solution with the suboptimal.Experimental results show that the object-oriented remote sensing image classification method based on GEPSO model has higher classification accuracy.

Key words: Object-oriented,Remote sensing classification,GEP,PSO

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