DocumentCode
571573
Title
Underwater Target Recognition Based on Module Time-frequency Matrix
Author
Xu, Xi ; Shi, Min
Author_Institution
Troops of PLA, Zhanjiang, China
Volume
1
fYear
2012
fDate
26-27 Aug. 2012
Firstpage
42
Lastpage
44
Abstract
Underwater target recognition based on S-transform with module time-frequency matrix similarity is studied in the paper. Compute the similarity rate between S-transform with module time-frequency matrix of test sample and which of normal sample. The test sample is classified according to maximum similarity principle. The method can achieve target recognition directly without using auxiliary classifier. The computing process is simple and fast. Simulation and test show the method is suited to underwater target recognition because of its high recognition rate and insensitive to noise.
Keywords
image recognition; matrix algebra; transforms; S-transform; auxiliary classifier; maximum similarity principle; module time-frequency matrix similarity; normal sample; test sample; underwater target recognition; Discrete Fourier transforms; Noise; Programmable logic arrays; Support vector machines; Target recognition; Time frequency analysis; classifier; s-transform; similarity; underwater target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location
Nanchang, Jiangxi
Print_ISBN
978-1-4673-1902-7
Type
conf
DOI
10.1109/IHMSC.2012.16
Filename
6305620
Link To Document