30 October 2009 Synthetic aperture radar automatic target recognition based on curvelet transform
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951K (2009) https://doi.org/10.1117/12.832815
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
A novel synthetic aperture radar (SAR) automatic target recognition (ATR) approach based on Curvelet Transform is proposed. However, the existing approaches can not extract the more effective feature. In this paper, our method is concentrated on a new effective representation of the moving and stationary target acquisition and recognition (MSTAR) database to obtain a more accurate target region and reduce feature dimension. Firstly, MSTAR database can be extracted feature through the optimal sparse representation by curvelets to obtain a clear target region. However, considering the loss of part of edges of image. We extract coarse feature, which is to compensate fine feature error brought by segmentation. The final features consisting of fine and coarse feature are classified by SVM with Gaussian radial basis function (RBF) kernel. The experiments show that our proposed algorithm can achieve a better correct classification rate.
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Shuang Wang, Shuang Wang, Zhuo Liu, Zhuo Liu, Licheng Jiao, Licheng Jiao, Jun He, Jun He, } "Synthetic aperture radar automatic target recognition based on curvelet transform", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951K (30 October 2009); doi: 10.1117/12.832815; https://doi.org/10.1117/12.832815
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