Coherence-Based Target Detection and Classification for Side Scan Sonar Imagery

摘要

Detection and classification of underwater objects in sonar imagery is a complicated problem due to various factors,such as variations in operating and environmental conditions,presence of spatially varying clutter and variations in target shapes,compositions and orientation.Moreover,bottom features,such as coral reefs,sand formations and vegetation,may totally obscure a target.