DocumentCode :
2558060
Title :
Automatic target recognition of SAR images based on the fuzzy neural networks
Author :
Ping, Han ; Shan, Gao
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
102
Lastpage :
104
Abstract :
ATR (automatic target recognition), based on SAR (synthetic aperture radar) image, is crucial to the success of battlefield awareness and has become a very hot research topic. But many problems, which are caused by a great deal of missing, polluting, and superimposing of the signals, still generally exist in practical application, such as the low recognizing rate. How to recognize the useful signals from badly polluted images has become a difficult point in remote sensing image process. Thus, this paper will provide a way to recognize radar signal automatically by using the fuzzy neural networks.
Keywords :
fuzzy neural nets; fuzzy set theory; image recognition; radar imaging; radar tracking; remote sensing by radar; synthetic aperture radar; target tracking; SAR image; automatic target recognition; battlefield awareness; fuzzy neural network; image recognition; polluted image; radar signal recognition; remote sensing image; synthetic aperture radar image; Earth; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Information science; Military computing; Neurons; Pollution; Synthetic aperture radar; Target recognition; Automatic target recognition; Fuzzy neural networks; Synthetic Aperture Rada;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5478256
Filename :
5478256
Link To Document :
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