A push-sweep hyperspectral aerial image Mosaic method based on SPHP
Received:January 17, 2020  Revised:January 12, 2021  download
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Author NameAffiliationE-mail
LI Sai Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China
CAS Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical PhysicsShanghai 200083China
University of Chinese Academy of SciencesBeijing 100049China 
814100090@qq.com 
Yin Qiu Shanghai Meteorological BureauShanghai 200030China  
HU Yong Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China
CAS Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical PhysicsShanghai 200083China 
 
GONG Cai-Lan Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China
CAS Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical PhysicsShanghai 200083China 
 
Abstract:In order to solve the problem that the optical center of hyperspectral images does not coincide with each other, and the alignment of traditional global monotonic matrix may have error in the registration process, a splicing-method (H-SPHP) of hyperspectral images based on SPHP(shape-preserving half-projective) and considering spectral information is proposed. The main steps include as follows: 1) image correction using the visual vector method. 2) selection of reference band based on prior knowledge and PCA. 3) SPHP-based mesh optimization splicing method. 4) Weighted average fusion algorithm for fusion.5) splicing parameters applied to all bands to obtain the splicing hyperspectral data. By obtaining experimental images from Sanming, Fujian province and Nanchang,Jiangxi province, the research data splicing experimental results show that the proposed algorithm has strong robustness, eliminating parallax and geographic coordinates accuracy better than SIFT + single should transform algorithm. After splicing, the registration accuracy of bands is within one pixel, and spectral similarity of the overlapping region is above 90%.
keywords:aerial photogrammetry  image mosaic  H-SPHP  hyperspectral push-scan image
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Copyright:《Journal of Infrared And Millimeter Waves》