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2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees]

Persello, Claudio and Hänsch, Ronny and Vivone, Gemine and Chen, Kaiqiang and Yan, Zhiyuan and Tang, Deke and Huang, Hai and Schmitt, Michael and Sun, Xian (2023) 2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine (GRSM), 11 (1), pp. 94-97. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/MGRS.2023.3240233. ISSN 2168-6831.

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Item URL in elib:https://elib.dlr.de/200080/
Document Type:Article
Title:2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees]
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Persello, ClaudioUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Vivone, GemineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Chen, KaiqiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yan, ZhiyuanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tang, DekeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huang, HaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schmitt, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sun, XianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:31 March 2023
Journal or Publication Title:IEEE Geoscience and Remote Sensing Magazine (GRSM)
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI:10.1109/MGRS.2023.3240233
Page Range:pp. 94-97
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:Published
Keywords:Data Fusion, Machine Learning, SAR, Building Detection
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 - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:30 Nov 2023 13:05
Last Modified:24 Jan 2024 15:00

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