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PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field

Bi, Haixia and Yao, Jing and Wei, Zhiqiang and Hong, Danfeng and Chanussot, Jocelyn (2021) PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field. IEEE Geoscience and Remote Sensing Letters. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2020.3034700. ISSN 1545-598X.

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Official URL: https://ieeexplore.ieee.org/abstract/document/9252858


Item URL in elib:https://elib.dlr.de/138283/
Document Type:Article
Title:PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bi, HaixiaFaculty of Engineering, University of Bristol, Bristol BS8 1UB, United KingdomUNSPECIFIED
Yao, JingJing.Yao (at) dlr.deUNSPECIFIED
Wei, Zhiqiange Xi’an Electronics and Engineering InstituteUNSPECIFIED
Hong, DanfengDanfeng.Hong (at) dlr.deUNSPECIFIED
Chanussot, Jocelyninstitute nationale polytechnique de grenobleUNSPECIFIED
Date:2021
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1109/LGRS.2020.3034700
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Accepted
Keywords:PolSAR image classification, low-rank matrix factorization, mixture of Gaussian, Convolutional neural network, Markov random field.
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 - SAR methods, R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Liu, Rong
Deposited On:26 Nov 2020 09:47
Last Modified:13 Jan 2021 18:42

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