Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction

Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction

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 object...

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Bibliographic Details
Main Authors: J. Del Rio Vera, E. Coiras, J. Groen, B. Evans
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2009/109438

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