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Citation:
　Xiukun Li and Zhi Xia.Research of Underwater Bottom Object and Reverberation in Feature Space[J].Journal of Marine Science and Application,2013,(2):235-239.[doi:10.1007/s11804-013-1190-1]
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Research of Underwater Bottom Object and Reverberation in Feature Space

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Title:
Research of Underwater Bottom Object and Reverberation in Feature Space
Author(s):
Xiukun Li and Zhi Xia
Affilations:
Author(s):
Xiukun Li and Zhi Xia
Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin 150001, China
Keywords:
underwater bottom object;  pattern of reverberation;  feature clustering;  feature space;  underwater object detection
分类号:
-
DOI:
10.1007/s11804-013-1190-1
Abstract:
The critical technical problem of underwater bottom object detection is founding a stable feature space for echo signals classification. The past literatures more focus on the characteristics of object echoes in feature space and reverberation is only treated as interference. In this paper, reverberation is considered as a kind of signal with steady characteristic, and the clustering of reverberation in frequency discrete wavelet transform (FDWT) feature space is studied. In order to extract the identifying information of echo signals, feature compression and cluster analysis are adopted in this paper, and the criterion of separability between object echoes and reverberation is given. The experimental data processing results show that reverberation has steady pattern in FDWT feature space which differs from that of object echoes. It is proven that there is separability between reverberation and object echoes.

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Memo

Memo:
Supported by the National Natural Science Foundation of China, under Grant No.51279033.
Last Update: 2013-07-05