Recognition of buried target in shallow water

Detection and classification of underwater target in shallow water is a very challenging task. The reverberations of surface and bottom reflection are the critical restrained factor, though in shallow water, the echoes are strong enough to neglect caring the signal noise ratio (SNR). In this paper, a scheme which combines wavelet packages decomposition and multi-aspect based methods is designed for the recognition of underwater buried target. Simulation and experimental results describe the effectivity of the scheme in underwater buried target reorganization.