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A Novel Image Registration Algorithm Using Wavelet Transform and Matrix-Multiply Discrete Fourier Transform

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成果类型:
期刊论文
作者:
Zhou, Cui;Zhang, Gui*;Yang, Zefa*;Zhou, Jinghong
通讯作者:
Zhang, Gui;Yang, Zefa
作者机构:
[Zhou, Cui; Zhang, Gui] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410018, Peoples R China.
[Yang, Zefa] Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
[Zhou, Jinghong] ZhongNan Engn Corp Ltd, Changsha 410014, Peoples R China.
通讯机构:
[Zhang, Gui; Yang, Zefa] C
Cent South Univ Forestry & Technol, Coll Sci, Changsha 410018, Peoples R China.
Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
语种:
英文
关键词:
Image registration;Discrete Fourier transforms;Correlation;Wavelet transforms;Data mining;Remote sensing;Discrete Fourier transform (DFT);image registration;remote sensing (RS);subimage;wavelet transform
期刊:
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN:
1545-598X
年:
2022
卷:
19
页码:
1-5
基金类别:
This work was supported in part by the National Natural Science Foundation of China under Grant 42074016, Grant 42030112, and Grant 41604012; in part by the Young Elite Scientists Sponsorship Program by Hunan Province of China under Grant 2018RS3093; and in part by the Hunan Science and Technology Innovation Platform and Talent Plan Project under Grant 2017TP1022.
机构署名:
本校为第一且通讯机构
院系归属:
理学院
摘要:
Nearly all existing image registration algorithms are based on the full information (e.g., intensity and/or features) carried by the images being registered. Such a full-image-based strategy can achieve high-precision registration (e.g., at the subpixel level) but at the expense of long computation times, especially for high spatial resolution remote-sensing (RS) images. This letter presents a novel subimage-based registration method that is expected to dramatically reduce the time consumption but still meet subpixel accuracy requirements. The ...

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