Title :
Fusion Recognition Method of Target´s SAR Images Based on Modified D-S Evidence Theory
Author :
Zhang, Jing ; Wang, Guohong ; Liang, Famai ; Yang, Zhiyong
Author_Institution :
Res. Inst. of Inf. Fusion, Naval Aeronaut. Eng. Inst., Yantai
Abstract :
The method of geometric hashing technology can effectively recognize the targets distorted partially. But when the known targets in training data set don´t satisfy with the condition of 360 azimuths, the effect of recognition degrades. In this paper, we present two aspects improve the correct rate. Firstly, we use a CFAR detector based on power transformation to segment the SAR images. And also discuss the interval of power transformation´ parameter when the data is Rayleigh distribution. Secondly, we present a method of modified D-S evidence theory which can solve fusion with a high degree of conflict. Experimental results with MSTAR dataset show that this fusion method is effective and feasible
Keywords :
computational geometry; cryptography; image recognition; image segmentation; sensor fusion; synthetic aperture radar; CFAR detector; Rayleigh distribution; SAR image segmentation; SAR target recognition; evidence reasoning; fusion recognition; geometric hashing; modified D-S evidence theory; power transformation; Aerospace engineering; Azimuth; Degradation; Detectors; Image recognition; Image segmentation; Intelligent control; Synthetic aperture radar; Target recognition; Training data; Evidence reasoning; Geometric Hashing; Power transformation; SAR target recognition;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714014
