HMM-Based Underwater Target Classification with Synthesized Active Sonar Signals
نویسندگان
چکیده
منابع مشابه
Underwater object classification using scattering transform of sonar signals
In this paper, we apply the scattering transform (ST)—a nonlinear map based off of a convolutional neural network (CNN)—to classification of underwater objects using sonar signals. The ST formalizes the observation that the filters learned by a CNN have wavelet-like structure. We achieve effective binary classification both on a real dataset of Unexploded Ordinance (UXOs), as well as synthetica...
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ژورنال
عنوان ژورنال: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
سال: 2011
ISSN: 0916-8508,1745-1337
DOI: 10.1587/transfun.e94.a.2039