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FTDN: Multispectral and Hyperspectral Image Fusion With Diverse Temporal Difference Spans

文献类型：期刊论文

作者Chen, Xu2; Meng, Xiangchao2; Liu, Qiang2; Jiang, Huiping3,4; Yang, Gang1; Sun, Weiwei1; Shao, Feng2
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2023
卷号61页码:13
ISSN号0196-2892
关键词Hyperspectral (HS) image multispectral (MS) image remote sensing spatial-spectral fusion temporal change
DOI10.1109/TGRS.2023.3294347
通讯作者Meng, Xiangchao(mengxiangchao@nbu.edu.cn) ; Sun, Weiwei(sunweiwei@nbu.edu.cn)
英文摘要Multispectral (MS)-hyperspectral (HS) image fusion, which aims to enhance the spatial resolution of low-spatial-resolution HS images with a high-spatial-resolution MS, has provided a wide range of applications in remote sensing. However, relatively long revisit cycles of HS satellites and irresistible weather factors cause the acquisition of HS and MS images at the same time difficult. Most of the existing approaches neglect the temporal difference between MS and HS images and perform weakness in the challenging case with diverse temporal difference spans. In this article, we propose a novel image fusion strategy with embedding a stage of feature matching before interaction. On the one hand, we explore the role of spectral correlation modeling between HS and MS images, which accounts for the utilization of available spatial information from MS images. On the other hand, we design a feature aggregation module to fully exploit the nonlinear gaps and dependencies of heterogeneous data and utilize adaptive gains to realize complementary information projection and fusion. We build Dongying (DY) and Yellow River Estuary (YRE) remote-sensing datasets based on Sentinel-2 and ZiYuan (ZY)-1 02D satellites with diverse temporal difference spans. The extensive experiments demonstrate that our method is robust to the span of temporal difference and shows superior performance over the existing methods visually and quantitatively.
WOS关键词SUPERRESOLUTION ; FACTORIZATION ; NETWORK ; MODEL
资助项目National Natural Science Foundation of China[42171326] ; National Natural Science Foundation of China[62071261] ; Zhejiang Provincial Natural Science Foundation of China[LR23D010001] ; Zhejiang Provincial Natural Science Foundation of China[LY22F010014] ; Postdoctoral Research Foundation of China[2020M672490] ; Ningbo Natural Science Foundation[2022J076] ; 2025 Science and Technology Major Project of Ningbo City[2021Z107] ; 2025 Science and Technology Major Project of Ningbo City[2022Z032] ; Zhejiang Province Pioneering Soldier and Leading Goose research Project[2023C01027]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:001040071000023
资助机构National Natural Science Foundation of China ; Zhejiang Provincial Natural Science Foundation of China ; Postdoctoral Research Foundation of China ; Ningbo Natural Science Foundation ; 2025 Science and Technology Major Project of Ningbo City ; Zhejiang Province Pioneering Soldier and Leading Goose research Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/196128]  
专题中国科学院地理科学与资源研究所
通讯作者Meng, Xiangchao; Sun, Weiwei
作者单位1.Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China
2.Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo 315211, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
4.Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Xu,Meng, Xiangchao,Liu, Qiang,et al. FTDN: Multispectral and Hyperspectral Image Fusion With Diverse Temporal Difference Spans[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:13.
APA Chen, Xu.,Meng, Xiangchao.,Liu, Qiang.,Jiang, Huiping.,Yang, Gang.,...&Shao, Feng.(2023).FTDN: Multispectral and Hyperspectral Image Fusion With Diverse Temporal Difference Spans.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,13.
MLA Chen, Xu,et al."FTDN: Multispectral and Hyperspectral Image Fusion With Diverse Temporal Difference Spans".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):13.

入库方式： OAI收割

来源：地理科学与资源研究所

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