Matching suitable feature construction for SAR images based on evolutionary synthesis strategy  

作　　者：Bu Yanlong Tang Geshi Liu Hongfu Pan Liang 

机构地区：[1]National Key Laboratory of Science and Technology on Aerospace Flight Dynamics, Beijing Aerospace Control Center (BACC) [2]College of Mechatronic Engineering and Automation, National University of Defense Technology

出　　处：《Chinese Journal of Aeronautics》2013年第6期1488-1497,共10页中国航空学报（英文版）

基　　金：supported by National Natural Science Foundation of China (Grant No.41204026);Advanced Research Foundation (Grant No.9140A24060712KG13290);Open Fund of Key Laboratory of Science and Technology on Aerospace Flight Dynamics (Grant No.2012AFDL010)

摘　　要：In the paper,a set of algorithms to construct synthetic aperture radar（SAR）matching suitable features are frstly proposed based on the evolutionary synthesis strategy.During the process,on the one hand,the indexes of primary matching suitable features（PMSFs）are designed based on the characteristics of image texture,SAR imaging and SAR matching algorithm,which is a process involving expertise;on the other hand,by designing a synthesized operation expression tree based on PMSFs,a much more flexible expression form of synthesized features is built,which greatly expands the construction space.Then,the genetic algorithm-based optimized searching process is employed to search the synthesized matching suitable feature（SMSF）with the highest effciency,largely improving the optimized searching effciency.In addition,the experimental results of the airborne synthetic aperture radar ortho-images of C-band and P-band show that the SMSFs gained via the algorithms can reflect the matching suitability of SAR images accurately and the matching probabilities of selected matching suitable areas of ortho-images could reach 99±0.5%.In the paper,a set of algorithms to construct synthetic aperture radar（SAR）matching suitable features are frstly proposed based on the evolutionary synthesis strategy.During the process,on the one hand,the indexes of primary matching suitable features（PMSFs）are designed based on the characteristics of image texture,SAR imaging and SAR matching algorithm,which is a process involving expertise;on the other hand,by designing a synthesized operation expression tree based on PMSFs,a much more flexible expression form of synthesized features is built,which greatly expands the construction space.Then,the genetic algorithm-based optimized searching process is employed to search the synthesized matching suitable feature（SMSF）with the highest effciency,largely improving the optimized searching effciency.In addition,the experimental results of the airborne synthetic aperture radar ortho-images of C-band and P-band show that the SMSFs gained via the algorithms can reflect the matching suitability of SAR images accurately and the matching probabilities of selected matching suitable areas of ortho-images could reach 99±0.5%.

关 键 词：Integrated navigation Matching suitability Operation expression tree Primary matching suitable feature（PMSF） SAR image Synthesized matching suitable feature（SMSF 

分 类 号：TN957.52[电子电信—信号与信息处理]