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- W2120476566 abstract "A new framework for ship detection in synthetic aperture radar (SAR) images is proposed. We focus on the task of locating re∞ective small regions using scattering centers model and clustering algorithm. Unlike most of the approaches in ship detection, we address an algorithm that incorporates SAR super-resolution imaging and mean shift clustering instead of parameter estimation. Our approach is validated by a series of tests on real SAR images and compared with other ship detection algorithms, demonstrating that it conflgures a novel and e-cient method for ship-detection purpose." @default.
- W2120476566 created "2016-06-24" @default.
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- W2120476566 date "2012-01-01" @default.
- W2120476566 modified "2023-10-12" @default.
- W2120476566 title "UNSUPERVISED TARGET DETECTION IN SAR IMAGES USING SCATTERING CENTER MODEL AND MEAN SHIFT CLUSTERING ALGORITHM" @default.
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- W2120476566 doi "https://doi.org/10.2528/pierl12071109" @default.
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