NDLI: An effective method for underwater target recognition

Content Provider	IEEE Xplore Digital Library
Author	Jian Yuan Wei Liu Geng Chen Guo-Hui Li
Copyright Year	2005
Description	Author affiliation: Dept. of Syst. Eng., Nat. Univ. of Defense Technol., Changsha, China (Jian Yuan)
Abstract	To recognize the underwater target precisely is always a hard problem to all countries. In this paper, we designed a genetic-based classifier system which recognizes targets utilize sonar fingerprints. Exceptionally some improvements have been designed on it. The proposed Comparing and Matching algorithm would give the fitness value more explicitly statistical meaning, which would make user easier to explain the rules with background knowledge. The proposed hyperplasia operator can handle those instances which were not emerged before. It gives the system persistent learning abilities, so the system may be more compatible with the surroundings. The proposed refining classifier merges redundant rules and shrinks the rule set In addition, an alterable mutation probability is set in the genetic algorithm, experiment shows that this strategy increased the speed and the accuracy of the classifying operation. Sonar fingerprint technology extracts unique feature from an echo, it is similar to that one's fingerprint can identify a unique person himself, dissimilar echo leads to different fingerprint. And all these have none business with the echo's store way (analog or digital) or format (WAV, MP3, WMA, RM, and etc). The proposed underwater target classifier system is highly automatic, with quite finite hardware requirements in operating.
Sponsorship	IEEE Syst., Man and Cybernetics Tech. Comm. on Cybernetics, Hong Kong Polytechnic Univ. Hebei Univ. South China Univ. Chongqing Univ. Sun Yat-sen Univ. Harbin Inst. of Technol. and Int. Univ. in Germany
Starting Page	4835
Ending Page	4841
File Size	373867
Page Count	7
File Format	PDF
ISBN	0780390911
DOI	10.1109/ICMLC.2005.1527794
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target recognition Fingerprint recognition Sonar Marine vehicles Management training Genetic algorithms Underwater tracking Electromagnetic scattering Radar Dynamic range Sonar fingerprint Underwater target recognition Classifier system Genetic algorithm
Content Type	Text
Resource Type	Article

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