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《Journal of Harbin Institute of Technology》 2007-07
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Image registration based on support vector machine and competition learning

ZHANG Jing1,2,GUO Mao-zu 1,LIU Qun 2(1.College of Computer Science & Technology,Harbin Institute of Technology,Harbin 150001,China;2.College of Computer Science & Technology,Harbin Engineering University,Harbin 150001,China)  
Landmine image registration approach by metal sensor and ground penetrating radar(GPR) sensor is presented.An approach which is based on competition learning and support vector machine(SVM) is put forward.Firstly,this approach describes the feature of landmine image by the weights of competition learning in order to decrease the vector numbers of being processed and pay attention to the interesting region.Then it puts the weights into SVM as training vectors to obtain the support vectors in a cycle way.The efficiency of this approach is demonstrated by applying this method to three groups of registration and fusion of metal sensor image and GPR sensor images.The results show that this approach is feasible and would be the base for further image processing of landmine.
【Fund】: 国家自然科学基金资助项目(60671011);; 黑龙江省杰出青年科学基金资助项目(JC200611);; 哈尔滨工业大学校基金资助项目(HIT.2003.53);; 黑龙江省自然科学基金资助项目(留学回国基金)(LC06C08);; 黑龙江省博士后基金资助项目(01105238);; 哈尔滨海外学人研究基金资助项目(1151hq008)
【CateGory Index】: TP391.41
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