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Vol. 155, Issue 8, August 2013, pp. 188-194

 

Bullet

 

SAR Target Recognition Using Improved Fuzzy Neural Network
 
1 Ling Mao, 1 Mei Xie, 2 Haitao Jia

1 Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

2 Research Institute Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China
E-mail: maoling621@sohu.com

 

Received: 16 May 2013   /Accepted: 12 August 2013   /Published: 20 August 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Target recognition in high-resolution synthetic aperture radar (SAR) images is a challenging task, because SAR images have higher ambiguity for different target, which will reduce the correct recognition rate. This paper presents an improved SAR recognition algorithm based on fuzzy neural network (FNN), which deals with the ambiguity SAR target recognition very well. This improved FNN system improves learning algorithm and structure which has fuzzy multi-input and fuzzy multi-output. This paper takes the MSTAR data as the test data in simulation to show that this improved fuzzy neural network obtains a higher correct recognition rate.

 

Keywords: Fuzzy neural network, Higher ambiguity, Correct recognition rate, SAR image.

 

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