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《Electronics Optics & Control》 2017-01
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A Feature Point Extraction Approach of SAR Image Based on Facet Model

HUANG Peng-jie;WANG Hong-li;ZHAO Ai-gang;LU Jing-hui;JIANG Wei;Department of Control and Engineering, Rocket Force University of Engineering;School of Sergeancy, Rocket Force University of Engineering;  
For the feature point matching of SAR images used in navigation system, a feature point extraction approach is proposed based on Facet model. Firstly, the image intensity surface is well fitted through the Facet model. Then the second-order directional derivative of the center point of the fitting surface is calculated out, and the point whose second-order directional derivative is less than zero is taken as the potential feature point. Through normalization of absolute values for maximum values of the potential feature points and local non-maxima suppression, the feature points are obtained. Experimental results show that the proposed algorithm can successfully detect the feature point, and the real-time performance of the algorithm is better than that of the traditional SIFT algorithm.
【Fund】: 国家自然科学基金(61203189 61374054)
【CateGory Index】: TN957.52
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 ;Development of INS/SAR Image Integrated Navigation System[J];航空科学技术;2013-05
【Co-citations】
Chinese Journal Full-text Database 1 Hits
1 HUANG Peng-jie;WANG Hong-li;ZHAO Ai-gang;LU Jing-hui;JIANG Wei;Department of Control and Engineering, Rocket Force University of Engineering;School of Sergeancy, Rocket Force University of Engineering;;A Feature Point Extraction Approach of SAR Image Based on Facet Model[J];电光与控制;2017-01
【Secondary Citations】
Chinese Journal Full-text Database 9 Hits
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