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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2009-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2009/109438 |