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9 October 2022 A LOFAR spectrum multi-sub-band matching method for passive target recognition
He Lu, Jintao Shang, Yuan Chen, Qiming Ma
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Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 122460N (2022) https://doi.org/10.1117/12.2643457
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China
Abstract
Template matching technique is a common technical tool in underwater acoustic target recognition. The traditional template matching method calculates the distance between the test sample and the template on the basis of feature extraction and compression, and characterizes the similarity by the distance measure, which requires high feature extraction and compression techniques. This paper proposes a Siamese network-based multi-sub-band matching method for the LOFAR spectrum of underwater acoustic targets from the target LOFAR waterfall spectrogram. The method fully considers the limited sample of underwater acoustic target data and the difference of energy distribution of the target in different frequency bands, divides the LOFAR spectrum into multiple sub-bands, and constructs a multi-sub-band Siamese network model under small sample conditions, which is suitable for solving the matching recognition problem of underwater acoustic targets. The actual sea trial data verified the effectiveness of the proposed method.
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He Lu, Jintao Shang, Yuan Chen, and Qiming Ma "A LOFAR spectrum multi-sub-band matching method for passive target recognition", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 122460N (9 October 2022); https://doi.org/10.1117/12.2643457
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KEYWORDS
Target recognition
Acoustics
Image segmentation
Broadband telecommunications
Feature extraction
Sensors
Target detection
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