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Báo cáo hóa học: " Research Article Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 109438 9 pages doi 10.1155 2009 109438 Research Article Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction J. Del Rio Vera 1 2 E. Coiras 1 J. Groen 1 and B. Evans1 1NATO Undersea Research Centre NURC 19126 La Spezia Italy 2ESRIN European Space Agency ESA 00044 Frascati Italy Correspondence should be addressed to J. Del Rio Vera jorge.del.rio.vera@esa.int Received 31 July 2008 Revised 2 December 2008 Accepted 3 March 2009 Recommended by Athanasios Rontogiannis 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. Copyright 2009 J. Del Rio Vera et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Underwater imaging has a wide range of applications from pipeline inspection to seabed classification and underwater object classification 1 . Although both optical and acoustic sensors can be used for underwater imaging the working range of the optical sensors is severely limited a few meters even in clear water conditions. This makes acoustic systems the preferred option for underwater imaging with ranges up to hundreds of meters independently of the water turbidity. One of the most widely used acoustic systems is the sidescan sonar which was developed in the 1950s and has .