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Texture Feature Extraction and Analyses for Mobile Targets in High-Resolution SAR Imagery |
Li Yu①② Liu Jun② Ji Ke-feng① Su Yi① |
①(School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China) ②(Engineering College of Armed Police Forces, Xi’an 710086, China) |
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Abstract Based on the theory of scattering center, the difference of back-scattering characteristics between the mobile targets and natural terrains in high-resolution SAR imagery is investigated, and the principles of texture features of the two kind targets are discussed in this paper. And then, the texture features are extracted by using respectively the local statistics and fractal models, and the method of selecting the best features is presented. The real vehicle target SAR image data in MSTAR database are used to test the texture features, the best features are selected and the discriminating performances of those features are shown. The results show that those features are good and can be used to eliminate the most false alarms of natural terrains.
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Received: 29 June 2007
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Corresponding Authors:
Li Yu
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