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Instance Segmentation of Buildings using Keypoints

Li, Qingyu and Mou, LiChao and Hua, Yuansheng and Sun, Yao and Jin, Pu and Shi, Yilei and Zhu, Xiao Xiang (2020) Instance Segmentation of Buildings using Keypoints. In: 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, pp. 1-4. IGARSS 2020, 2020-09-26 - 2020-10-02, Waikoloa, Hawaii, USA. doi: 10.1109/igarss39084.2020.9324457. ISBN 978-172816374-1. ISSN 2153-6996.

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Item URL in elib:https://elib.dlr.de/139191/
Document Type:Conference or Workshop Item (Speech)
Title:Instance Segmentation of Buildings using Keypoints
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Li, QingyuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mou, LiChaoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hua, YuanshengUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sun, YaoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jin, PuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Shi, YileiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhu, Xiao XiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:September 2020
Journal or Publication Title:2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/igarss39084.2020.9324457
Page Range:pp. 1-4
ISSN:2153-6996
ISBN:978-172816374-1
Status:Published
Keywords:deep network, instance segmentation, keypoint detetcion, building, aerial imagery
Event Title:IGARSS 2020
Event Location:Waikoloa, Hawaii, USA
Event Type:international Conference
Event Start Date:26 September 2020
Event End Date:2 October 2020
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: Li, Qingyu
Deposited On:07 Dec 2020 11:34
Last Modified:24 Apr 2024 20:40

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