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典型文献
ISAR Imaging and Cross-Range Scaling Based on Image Rotation Correlation
文献摘要:
With the rapid advancement of technology,not only do we need to acquire a clear in-verse synthetic aperture radar (ISAR) image,but also the real size of the target on the imaging plane,so it 's particularly important for the ISAR to rescale the images. That is,the ISAR image which is in the range-Doppler domain is converted into the range-azimuth domain. Actually,the key point to solving the problem is to estimate the rotation parameters. In this paper,a new scheme to rescale the images is proposed. For the sake of solving the problem of two-dimensional image blur and target high-speed,the instantaneous range instantaneous Doppler (IRID) method is used to obtain ISAR images,and the rotation parameters are estimated by comparing the rotation correlation of the two images. Using this method,the error of the estimated rotation parameters is greatly reduced,so that the target can be rescaled accurately. The simulation results verify the ef-fectiveness of the proposed algorithm.
文献关键词:
作者姓名:
Fangming Liu;Cong Du;Yujiao Ding;Minghai Wang;Wei Dong
作者机构:
State Key Laboratory on Integrated Optoelectronics,College of Electronic Science & Engineering, Jilin Uni-versity, Changchun 130012, China;Big Data and Network Manage-ment Center, Jilin University, Changchun 130012, China
引用格式:
[1]Fangming Liu;Cong Du;Yujiao Ding;Minghai Wang;Wei Dong-.ISAR Imaging and Cross-Range Scaling Based on Image Rotation Correlation)[J].北京理工大学学报(英文版),2022(02):196-207
A类:
rescale,IRID
B类:
ISAR,Imaging,Cross,Range,Scaling,Based,Image,Rotation,Correlation,With,rapid,advancement,technology,not,only,we,need,acquire,clear,verse,synthetic,aperture,radar,but,also,real,size,target,imaging,plane,particularly,important,images,That,which,range,Doppler,domain,converted,into,azimuth,Actually,key,point,solving,problem,rotation,parameters,In,this,paper,new,scheme,proposed,For,sake,two,dimensional,blur,high,speed,instantaneous,method,used,obtain,are,estimated,by,comparing,correlation,Using,error,greatly,reduced,that,can,be,rescaled,accurately,simulation,results,verify,ef,fectiveness,algorithm
AB值:
0.558926
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