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Kunwar, Saket and Chen, Hongyu and Lin, Manhui and Zhang, Hongyan and d'Angelo, Pablo and Cerra, Daniele and Azimi, Seyed Majid and Brown, Myron and Hager, Gregory and Yokoya, Naoto and Hänsch, Ronny and Le Saux, Bertrand (2020) Large-Scale Semantic 3D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 922-935. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2020.3032221. ISSN 1939-1404.
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Official URL: https://ieeexplore.ieee.org/abstract/document/9229514
Abstract
In this paper, we present the scientific outcomes of the 2019 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. The 2019 Contest addressed the problem of 3D reconstruction and 3D semantic understanding on a large scale. Several competitions were organized to assess specific issues, such as elevation estimation and semantic mapping from a single view, two views, or multiple views. In this Part A, we report the results of the best-performing approaches for semantic 3D reconstruction according to these various set-ups, while 3D point cloud semantic mapping is discussed in Part B.
| Item URL in elib: | https://elib.dlr.de/138023/ | |||||||||||||||||||||||||||||||||||||||
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| Document Type: | Article | |||||||||||||||||||||||||||||||||||||||
| Title: | Large-Scale Semantic 3D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A | |||||||||||||||||||||||||||||||||||||||
| Authors: |
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| Date: | 19 October 2020 | |||||||||||||||||||||||||||||||||||||||
| 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: | 14 | |||||||||||||||||||||||||||||||||||||||
| DOI: | 10.1109/JSTARS.2020.3032221 | |||||||||||||||||||||||||||||||||||||||
| Page Range: | pp. 922-935 | |||||||||||||||||||||||||||||||||||||||
| Publisher: | IEEE - Institute of Electrical and Electronics Engineers | |||||||||||||||||||||||||||||||||||||||
| ISSN: | 1939-1404 | |||||||||||||||||||||||||||||||||||||||
| Status: | Published | |||||||||||||||||||||||||||||||||||||||
| Keywords: | Image analysis and data fusion, data fusion contest, stereo, multi-view, 3D reconstruction, height estimation, elevation model, point-cloud, semantic labeling, semantic mapping, classification, LiDAR, deep learning, convolutional neural networks | |||||||||||||||||||||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | |||||||||||||||||||||||||||||||||||||||
| HGF - Program: | Transport | |||||||||||||||||||||||||||||||||||||||
| HGF - Program Themes: | Road Transport | |||||||||||||||||||||||||||||||||||||||
| DLR - Research area: | Transport | |||||||||||||||||||||||||||||||||||||||
| DLR - Program: | V ST Straßenverkehr | |||||||||||||||||||||||||||||||||||||||
| DLR - Research theme (Project): | V - D.MoVe | |||||||||||||||||||||||||||||||||||||||
| Location: | Oberpfaffenhofen | |||||||||||||||||||||||||||||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Photogrammetry and Image Analysis Microwaves and Radar Institute > SAR Technology | |||||||||||||||||||||||||||||||||||||||
| Deposited By: | Cerra, Daniele | |||||||||||||||||||||||||||||||||||||||
| Deposited On: | 25 Nov 2020 12:46 | |||||||||||||||||||||||||||||||||||||||
| Last Modified: | 14 Jan 2021 17:36 |
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