Registration method of dislocation row for the advanced geosynchronous radiation imager
Received:August 24, 2019  Revised:April 15, 2020  download
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Author NameAffiliationE-mail
LI Kai Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
Key Laboratory of Infrared Detection and Imaging Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
University of Chinese Academy of Sciences, Beijing 100049, China 
likai_sitp@163.com 
HAN Chang-Pei Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
Key Laboratory of Infrared Detection and Imaging Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China 
 
ZHU Yu Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
Key Laboratory of Infrared Detection and Imaging Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China 
 
WU Ya-Peng Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
Key Laboratory of Infrared Detection and Imaging Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China 
 
Abstract:In this paper, the solution to dislocation between adjacent rows is proposed for the advanced geosynchronous radiation imager (AGRI) of Fengyun-4A (FY-4A). Firstly, according to the scanning mode of AGRI combined with the shift theorem of the Fourier Transform, the phase difference curve of adjacent pixels in the misaligned row is calculated. Secondly, the displacement value is obtained by fitting the low frequency portion of the phase difference spectrum by the least squares method. Finally, the dislocation rows are reconstructed by means of “weight assignment” according to the displacement value, and the problem of dislocation between the rows is solved. The scheme proposed is verified by simulation experiment, and the in-orbit images of AGRI are processed. The results show that the proposed algorithm can achieve registration between adjacent rows with high precision on sub-pixel level.
keywords:registration between adjacent rows  phase difference spectrum  image reconstruction  AGRI image  Fengyun-4A
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Copyright:《Journal of Infrared And Millimeter Waves》