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Remote sensing image registration method based on synchronous atmospheric correction

文献类型：期刊论文

作者Li, Yang1,2,3; Qiu, Zhenwei1,2; Chen, Feinan1,2; Sui, Tangyu1,2,3; Ti, Rufang1,2; Cheng, Weihua1,2; Hong, Jin1,2
刊名OPTICS EXPRESS
出版日期2024-07-01
卷号32
ISSN号1094-4087
DOI10.1364/OE.523531
通讯作者Qiu, Zhenwei(zwqiu@aiofm.ac.cn)
英文摘要Image registration is a crucial preprocessing step in remote sensing applications, integrating information from multiple images to achieve synergistic advantages. Nevertheless, aerosols characterized by spatiotemporal heterogeneity can result in the blurring of remote- sensing images, thereby compromising the accuracy of image registration. This paper begins by analyzing the basic principles of atmospheric correction and image registration. The variations in atmospheric radiative contribution caused by aerosol changes in real-world scenarios were simulated, along with an examination of the relationship between atmospheric effects and the quantity of image features. Subsequently, addressing the challenge posed by insufficient synchronicity in aerosol parameters and the influence of atmospheric effects on remote sensing image registration, we propose a registration method based on synchronous atmospheric correction. This approach utilizes the Airborne Synchronous Monitoring Atmospheric Corrector (ASMAC) to obtain aerosol optical depth and column water vapor images for synchronous atmospheric correction of remote sensing images, along with the assessment of the registration transformation matrix. Finally, airborne experiments involving ASMAC and high-resolution cameras are conducted to validate the proposed method's improvement in remote sensing image registration accuracy. Experimental results demonstrate the effectiveness of the proposed method, showcasing an increase in the number of features and improvements in quantitative evaluation metrics. Specifically, the normalized correlation coefficient improved by up to 2.408%, while the normalized mutual information increased by a maximum of 1.395%, a maximum feature count and successfully matched features improvement of 21.1% and 38.5% (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
WOS关键词SIFT ; 6S
资助项目Youth Innovation Promotion Association of the Chinese Academy of Sciences[2018482]
WOS研究方向Optics
语种英语
WOS记录号WOS:001279082400006
出版者Optica Publishing Group
资助机构Youth Innovation Promotion Association of the Chinese Academy of Sciences
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/137326]  
专题中国科学院合肥物质科学研究院
通讯作者Qiu, Zhenwei
作者单位1.Chinese Acad Sci, Key Lab Opt Calibrat & Characterizat, Hefei 230031, Anhui, Peoples R China
2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
3.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China
推荐引用方式
GB/T 7714		 Li, Yang,Qiu, Zhenwei,Chen, Feinan,et al. Remote sensing image registration method based on synchronous atmospheric correction[J]. OPTICS EXPRESS,2024,32.
APA Li, Yang.,Qiu, Zhenwei.,Chen, Feinan.,Sui, Tangyu.,Ti, Rufang.,...&Hong, Jin.(2024).Remote sensing image registration method based on synchronous atmospheric correction.OPTICS EXPRESS,32.
MLA Li, Yang,et al."Remote sensing image registration method based on synchronous atmospheric correction".OPTICS EXPRESS 32(2024).

入库方式： OAI收割

来源：合肥物质科学研究院

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