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Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing

Hong, Danfeng and He, Wei and Yakoya, Naoto and Yao, Jing and Gao, Lianru and Zhang, Lei and Chanussot, Jocelyn and Zhu, Xiao Xiang (2021) Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing. IEEE Geoscience and Remote Sensing Magazine (GRSM). IEEE - Institute of Electrical and Electronics Engineers. ISSN 2168-6831. (In Press)

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Item URL in elib:https://elib.dlr.de/141192/
Document Type:Article
Title:Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hong, DanfengDanfeng.Hong (at) dlr.deUNSPECIFIED
He, WeiUNSPECIFIEDUNSPECIFIED
Yakoya, NaotoUNSPECIFIEDUNSPECIFIED
Yao, JingJing.Yao (at) dlr.deUNSPECIFIED
Gao, LianruUNSPECIFIEDUNSPECIFIED
Zhang, LeiLei.Zhang (at) dlr.deUNSPECIFIED
Chanussot, Jocelyninstitute nationale polytechnique de grenobleUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:2021
Journal or Publication Title:IEEE Geoscience and Remote Sensing Magazine (GRSM)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:In Press
Keywords:hyperspectral, AI, remote sensing, non-convex modeling
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research, R - Optical remote sensing
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Bratasanu, Ion-Dragos
Deposited On:25 Mar 2021 18:17
Last Modified:25 Mar 2021 18:17

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