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CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images

Sun, Yao and Hua, Yuansheng and Mou, LiChao and Zhu, Xiao Xiang (2021) CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images. 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/138029/
Document Type:Article
Title:CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sun, YaoYao.Sun (at) dlr.deUNSPECIFIED
Hua, YuanshengYuansheng.Hua (at) dlr.deUNSPECIFIED
Mou, LiChaoLiChao.Mou (at) dlr.deUNSPECIFIED
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:deep convolutional neural network (CNN), GIS, individual building segmentation, large-scale urban areas, synthetic aperture radar (SAR)
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Sun, Yao
Deposited On:27 Nov 2020 17:47
Last Modified:14 Jan 2021 17:23

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