KEYWORDS: Target recognition, Target detection, Signal to noise ratio, Submerged target detection, Wavelets, Simulation of CCA and DLA aggregates, Computer simulations, Interference (communication), Time-frequency analysis, Reflection
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.
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