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- W2379824826 abstract "The single descriptor is applied to extract change information between muti-temporal SAR images in traditional SAR change detection methods.It does not make full use of the image information,resulting in a drop in detection accuracy especially in complex scene.To solve this problem,a SAR image change detection method based on multiple features fusion was presented in this paper.Firstly,multiple features were extracted from multi-temporal SAR image power line corridor area,and the appropriate SAR change detection characteristics were selected.Then,the corresponding difference maps to each feature channel were further extracted.Finally,from the perspective of image fusion,the main component analysis(PCA) and evidence reasoning theory(DST) were separately used to fuse the difference maps corresponding to these features,and meanwhile the final changing detection results are extracted.Experimental results showed the proposed method has satisfactory effectiveness for changing detection." @default.
- W2379824826 created "2016-06-24" @default.
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- W2379824826 date "2012-01-01" @default.
- W2379824826 modified "2023-09-22" @default.
- W2379824826 title "Multiple features fusion for SAR image power line corridor changing detection" @default.
- W2379824826 hasPublicationYear "2012" @default.
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