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SDFL-FC: Semi-supervised Deep Feature Learning with Feature Consistency for Hyperspectral Image Classification

Cao, Yun and Wang, Yuebin and Peng, Junhuan and Qiu, Chunping and Ding, Lei and Zhu, Xiao Xiang (2021) SDFL-FC: Semi-supervised Deep Feature Learning with Feature Consistency for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. ISSN 0196-2892. (In Press)

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Item URL in elib:https://elib.dlr.de/139436/
Document Type:Article
Title:SDFL-FC: Semi-supervised Deep Feature Learning with Feature Consistency for Hyperspectral Image Classification
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Cao, YunUNSPECIFIEDUNSPECIFIED
Wang, YuebinUNSPECIFIEDUNSPECIFIED
Peng, JunhuanUNSPECIFIEDUNSPECIFIED
Qiu, ChunpingTechnical University MünchenUNSPECIFIED
Ding, LeiUNSPECIFIEDUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:2021
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
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:0196-2892
Status:In Press
Keywords:hypespectral, deep feature learning, image classification
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
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Bratasanu, Ion-Dragos
Deposited On:18 Dec 2020 14:00
Last Modified:18 Dec 2020 14:00

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