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

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.