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Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest

Liu, Guozhang and Peng, Baochai and Liu, Ting and Zhang, Pan and Yuan, Mengke and Lu, Chaoran and Cao, Ningning and Zhang, Sen and Huang, Simin and Wang, Tao and Lu, Xiaoqiang and Jiao, Licheng and Liu, Qiong and Li, Lingling and Liu, Fang and Liu, Xu and Yang, Yuting and Chen, Kaiqiang and Yan, Zhiyuan and Tang, Deke and Huang, Hai and Schmitt, Michael and Sun, Xian and Vivone, Gemine and Persello, Claudio and Hänsch, Ronny (2024) Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, pp. 11194-11207. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2024.3403201. ISSN 1939-1404.

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Official URL: https://ieeexplore.ieee.org/abstract/document/10535214


Item URL in elib:https://elib.dlr.de/209236/
Document Type:Article
Title:Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Liu, GuozhangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Peng, BaochaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Liu, TingUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhang, PanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yuan, MengkeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lu, ChaoranUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cao, NingningUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhang, SenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huang, SiminUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wang, TaoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lu, XiaoqiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jiao, LichengUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Liu, QiongUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Li, LinglingUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Liu, FangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Liu, XuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yang, YutingUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Chen, KaiqiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yan, ZhiyuanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tang, DekeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huang, HaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schmitt, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sun, XianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Vivone, GemineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Persello, ClaudioUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Date:24 May 2024
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:17
DOI:10.1109/JSTARS.2024.3403201
Page Range:pp. 11194-11207
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Buildings;Feature extraction;Estimation;Optical imaging;Lead;Optical sensors;Data integration;Convolutional neural networks;data fusion;deep learning;fine-grain building classification;transformers;monocular height estimation (MHE)
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:25 Nov 2024 14:04
Last Modified:30 Jan 2025 15:44

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