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- W2384652792 abstract "With the development of image sonar technology,target detection and recognition for sonar image has become a more and more important research subject in the field of digital image processing.Synthetic aperture sonar(SAS) images contain rich texture features,and the gray level co-occurrence matrix(GLCM) that has rich characteristic parameters can characterizes the textures from different perspectives.So,GLCM is used to describe the texture features of SAS images in this paper,and the target in SAS images can be accurately detected by calculating the energy,correlation,contrast and entropy of GLCM and forming the characteristic vectors.From the results of experiments,it can be seen that the accurate target detection in synthetic aperture sonar image can be achieved based on texture information." @default.
- W2384652792 created "2016-06-24" @default.
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- W2384652792 date "2013-01-01" @default.
- W2384652792 modified "2023-09-24" @default.
- W2384652792 title "Texture feature based target detection for SAS image" @default.
- W2384652792 hasPublicationYear "2013" @default.
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