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- W2368687504 abstract "The SAR image recognition method based on the traditional kernel principal component analysis exist some problems, such as weak correlations between the pixel and strong dependence of target azimuth. In this paper, a new SAR image recognition method based on local feature kernel principal component analysis was proposed to overcome these problems, and a double classifier based on gray correlation analysis was also presented. Experimental results with MSTAR dataset show that not only the correlations between the pixels can be strengthened, but also the dependence of target azimuth is disappeared, and this method is effective and feasible." @default.
- W2368687504 created "2016-06-24" @default.
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- W2368687504 date "2009-01-01" @default.
- W2368687504 modified "2023-09-28" @default.
- W2368687504 title "SAR Images Recognition Based on Modified Kernel Principal Component Analysis" @default.
- W2368687504 hasPublicationYear "2009" @default.
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