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 :
بازگشت