Paper
30 October 2009 Recognition of buried target in shallow water
Yangfan Zhang, Jie Tian, Changzhi Li
Author Affiliations +
Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951X (2009) https://doi.org/10.1117/12.832963
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yangfan Zhang, Jie Tian, and Changzhi Li "Recognition of buried target in shallow water", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951X (30 October 2009); https://doi.org/10.1117/12.832963
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KEYWORDS
Target recognition

Target detection

Signal to noise ratio

Submerged target detection

Computer simulations

Simulation of CCA and DLA aggregates

Wavelets

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