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Feature-based texture classification of side-scan sonar images using a neural network approach

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2 Author(s)
Shang, C. ; Heriot Watt Univ., Edinburgh, UK ; Brown, K.

A texture classification system for side-scan sonar images by using a trained multiplayer feedforward neural network (MFNN) is presented. The system classified textures by exploiting principal feature patterns, giving a high correct-classification rate. Experimental examples for the classification of side-scan sonar images are provided.

Published in:

Electronics Letters  (Volume:28 ,  Issue: 23 )