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- W1990331873 abstract "This paper presents a new supervised classification approach for automated target recognition (ATR) in SAS images. The recognition procedure starts with a novel segmentation stage based on the Hilbert transform. A number of geometrical features are then extracted and used to classify observed objects against a previously compiled database of target and non-target features. The proposed approach has been tested on a set of 1528 simulated images created by the NURC SIGMAS sonar model, achieving up to 95% classification accuracy." @default.
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- W1990331873 date "2009-04-06" @default.
- W1990331873 modified "2023-09-26" @default.
- W1990331873 title "Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction" @default.
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- W1990331873 doi "https://doi.org/10.1155/2009/109438" @default.
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