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A Weakly-supervised Deep Network for DSM-Aided Vehicle Detection

Wu, Xin and Hong, Danfeng and Tian, Jiaojiao and Kiefl, Ralph and Tao, Ran (2019) A Weakly-supervised Deep Network for DSM-Aided Vehicle Detection. In: 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2019, 28. Jul. - 02. Aug. 2019, Yokohama, Japan.

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Item URL in elib:https://elib.dlr.de/130573/
Document Type:Conference or Workshop Item (Poster)
Title:A Weakly-supervised Deep Network for DSM-Aided Vehicle Detection
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wu, XinBeijing Institute of TechnologyUNSPECIFIED
Hong, DanfengDanfeng.Hong (at) dlr.deUNSPECIFIED
Tian, JiaojiaoJiaojiao.Tian (at) dlr.dehttps://orcid.org/0000-0002-8407-5098
Kiefl, RalphRalph.Kiefl (at) dlr.dehttps://orcid.org/0000-0001-7622-5458
Tao, RanBeijing Institute of TechnologyUNSPECIFIED
Date:2019
Journal or Publication Title:2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:Deep learning, digital surface model, geospatial object detection, optical remote sensing imagery, vehicle, weakly-supervised
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:28. Jul. - 02. Aug. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren, V - D.MoVe
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Remote Sensing Technology Institute > EO Data Science
German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Tian, Jiaojiao
Deposited On:14 Nov 2019 11:16
Last Modified:06 Dec 2019 18:01

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