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

Hänsch, Ronny and Persello, Claudio and Vivone, Gemine and Chen, Kaiqiang and Yan, Zhiyuan and Tang, Deke and Huang, Hai and Schmitt, Michael and Sun, Xian (2023) Report on the 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 (4), pp. 146-149. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/MGRS.2023.3302342. ISSN 2168-6831.

Full text not available from this repository.

Official URL: https://dx.doi.org/10.1109/MGRS.2023.3302342


Item URL in elib:https://elib.dlr.de/202220/
Document Type:Article
Title:Report on the 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
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Persello, ClaudioUNSPECIFIEDhttps://orcid.org/0000-0003-3742-5398UNSPECIFIED
Vivone, GemineUNSPECIFIEDhttps://orcid.org/0000-0001-9542-0638UNSPECIFIED
Chen, KaiqiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yan, ZhiyuanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tang, DekeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huang, HaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schmitt, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-0575-2362UNSPECIFIED
Sun, XianUNSPECIFIEDhttps://orcid.org/0000-0002-0038-9816UNSPECIFIED
Date:21 December 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.2023.3302342
Page Range:pp. 146-149
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:Published
Keywords:Machine Learning, Benchmark, Building detection, Height reconstruction
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:19 Jan 2024 11:05
Last Modified:29 Jan 2024 13:08

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