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《Geomatics and Information Science of Wuhan University》 2010-08
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An Effective Method for Targets Feature Extraction and Recognition of High Resolution SAR Images

LIU Aiping1,2 LIU Zhong1 FU Kun2 YOU Hongjian2 (1 Electronic Engineering College,Navy Engineering University,717 Jiefang Road,Wuhan 430033,China) (2 Key Laboratory of Technology in Geo-spatial Information Processing and Application System,Institute of Electronics,Chinese Academy of Sciences,19 West Sihuan Road,Haidian District,Beijing 100190,China)  
An effective method for high resolution synthetic aperture radar(SAR) images feature extraction and target recognition is presented.According to the different response characters of targets to multi-scales Gabor filters,multi-scale information and the pertinence between multi-scales are adopted to extract new multi-scale features.This new feature combines target's macroscopical and microcosmical characteristic together,that makes it easy to obtain more essential features of SAR image.Nonlinear transform that adopts kernel Fisher is more capable of describing complex patterns than linear transformation.The experimental results show the validities of this new multi-scale feature.
【Fund】: 国家自然科学基金资助项目(40871209)
【CateGory Index】: TN957.52
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【Co-citations】
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