Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge

被引:34
作者
Vivone, Gemine [1 ,8 ,9 ,10 ]
Garzelli, Andrea [2 ,11 ,12 ]
Xu, Yang [3 ,13 ]
Liao, Wenzhi [4 ,5 ,14 ,15 ]
Chanussot, Jocelyn [6 ,7 ,16 ,17 ,18 ,19 ,20 ]
机构
[1] CNR, Inst Methodol Environm Anal IMAA, I-85050 Tito, Italy
[2] Univ Siena, Dept Informat Engn & Math, I-53100 Siena, Italy
[3] Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Peoples R China
[4] Flanders Make, B-8500 Kortrijk, Belgium
[5] Univ Ghent, B-8500 Kortrijk, Belgium
[6] Univ Grenoble Alpes, GIPSA Lab, CNRS, Grenoble INP, F-38000 Grenoble, France
[7] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
[8] Univ Salerno, Fisciano, Italy
[9] North Atlantic Treaty Org NATO, Sci & Technol Org STO, Ctr Maritime Res & Experimentat CMRE, La Spezia, Italy
[10] Grenoble Inst Technol INPG, Grenoble, France
[11] Univ Siena, Dept Informat Engn & Math DIISM, Siena, Italy
[12] DIISM, Grad course Comp & Informat Engn, Siena, Italy
[13] Univ Grenoble Alpes, Lab, GIPSA, Grenoble INP, Grenoble, France
[14] Res Fdn Flanders FWO, Vlaanderen, Belgium
[15] Flemish Inst Technol Res VITO, Sustainable Mat Management, Mol, Belgium
[16] Stanford Univ, Stanford, CA USA
[17] KTH, Stockholm, Sweden
[18] NUS, Singapore City, Singapore
[19] Univ Iceland, Reykjavik, Iceland
[20] Univ Calif Los Angeles, Angeles UCLA, Los Angeles, CA USA
关键词
Hyperspectral imaging; image fusion; optical imaging; PRISMA images; pansharpening; remote sensing; resolution enhancement; MS;
D O I
10.1109/JSTARS.2022.3220974
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article presents the scientific outcomes of the 2022 Hyperspectral Pansharpening Challenge organized by the 12th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (IEEE WHISPERS 2022). The 2022 Hyperspectral Pansharpening Challenge aims at fusing a panchromatic image with hyperspectral data to get a high spatial resolution hyperspectral cube with the same spatial resolution of the panchromatic image while preserving the spectral information of hyperspectral data. Four datasets acquired by the PRISMA mission owned and managed by the Italian Space Agency have been prepared for participants. They are made available for the benefit of the scientific community. Each dataset contains a panchromatic image and a hyperspectral cube with different spatial resolutions. More than 100 registrations have been received for the event. Four teams submitted their outcomes. Since no team actually outperformed the baseline provided by the organizers, the challenge was declared inconclusive and no winner was recognized.
引用
收藏
页码:166 / 179
页数:14
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