SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion

doi:10.1109/TGRS.2022.3217168

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 视频内容安全

	SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion
	Liu, Shuaiqi 1,2; Liu, Siyuan3 ; Zhang, Shichong 3; Li, Bing2 ; Hu, Weiming2 ; Zhang, Yu-Dong 4
发表期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
	2022
卷号	60 页码:16
通讯作者	Liu, Siyuan(syliu_hbu@163.com) ; Hu, Weiming(wmhu@nlpr.ia.ac.cn)
摘要	Compared with the traditional remote sensing image, there is a large amount of spectral information in the hyperspectral image (HSI), which makes HSI better reflect the actual condition of surface features. However, due to the limitations of imaging conditions, HSI tends to have a lower spatial resolution. In order to overcome this issue, we propose a spectral-spatial attention-based U-Net named SSAU-Net for HSI and multispectral image (MSI) fusion. The SSAU-Net constructs a spectral-spatial attention module by a coordinate-attention (CA) module and an efficient pyramid split attention (EPSA) module, which can enhance the image's spectral information and spatial information. Meanwhile, the proposed network fully extracts the shallow and deep features of the images and finally generates high-resolution (HR) HSIs. Compared with the state-of-the-art HSI-MSI fusion methods, the experimental results verify that the proposed method has a better subjective and objective fusion effect.
关键词	Feature extraction Matrix decomposition Image fusion Hyperspectral imaging Spatial resolution Tensors Image reconstruction Deep learning hyperspectral image (HSI) image fusion multispectral image (MSI) spectral-spatial attention
DOI	10.1109/TGRS.2022.3217168
关键词[WOS]	FACTORIZATION
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62172139] ; National Natural Science Foundation of China[U1936204] ; National Natural Science Foundation of China[U1803119] ; National Key Research and Development Plan[2020AAA0106800] ; Natural Science Foundation of Hebei Province[F2022201055] ; Science Research Project of Hebei Province[BJ2020030] ; Open Project Program of the National Laboratory of Pattern Recognition (NLPR)[202200007] ; Natural Science Interdisciplinary Research Program of Hebei University[DXK202102] ; Research Project of Hebei University Intelligent Financial Application Technology (HUIFAT) Research and Development Center[XGZJ2022022] ; [2022M713361]
项目资助者	National Natural Science Foundation of China ; National Key Research and Development Plan ; Natural Science Foundation of Hebei Province ; Science Research Project of Hebei Province ; Open Project Program of the National Laboratory of Pattern Recognition (NLPR) ; Natural Science Interdisciplinary Research Program of Hebei University ; Research Project of Hebei University Intelligent Financial Application Technology (HUIFAT) Research and Development Center
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000882005800009
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：16[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/51252
专题	多模态人工智能系统全国重点实验室_视频内容安全
通讯作者	Liu, Siyuan; Hu, Weiming
作者单位	1.Hebei Univ, Coll Elect & Informat Engn, Machine Vis Technol Innovat Ctr Hebei Prov, Baoding 071002, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit NLPR, Beijing 100190, Peoples R China 3.Hebei Univ, Coll Elect & Informat Engn, Baoding 071002, Peoples R China 4.Univ Leicester, Sch Comp & Math, Leicester LE1 7RH, Leics, England
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Liu, Shuaiqi,Liu, Siyuan,Zhang, Shichong,et al. SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:16.
APA	Liu, Shuaiqi,Liu, Siyuan,Zhang, Shichong,Li, Bing,Hu, Weiming,&Zhang, Yu-Dong.(2022).SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,16.
MLA	Liu, Shuaiqi,et al."SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):16.