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Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest - Part A: 2-D Contest

Campos-Taberner, Manuel and Romero-Soriano, Adriana and Gatta, Carlo and Camps-Valls, Gustau and Lagrange, Adrien and Le Saux, Bertrand and Beaupère, Anne and Boulch, Alexandre and Chan-Hon-Tong, Adrien and Herbin, Stéphane and Randrianarivo, Hicham and Ferecatu, Marin and Shimoni, Michal and Moser, Gabriele and Tuia, Devis Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest - Part A: 2-D Contest. (2016) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (12). 5547-5559. ISSN 1939-1404

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Official URL: https://doi.org/10.1109/JSTARS.2016.2569162


In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource studies. The 2015 edition of the contest proposed a multiresolution and multisensorial challenge involving extremely high-resolution RGB images and a three-dimensional (3-D) LiDAR point cloud. The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this paper, we discuss the scientific results obtained by the winners of the 2-D contest, which studied either the complementarity of RGB and LiDAR with deep neural networks (winning team) or provided a comprehensive benchmarking evaluation of new classification strategies for extremely high-resolution multimodal data (runner-up team). The data and the previously undisclosed ground truth will remain available for the community and can be obtained at http://www.grss-ieee.org/community/technical-committees/data-fusion/2015-ieee-grss-data-fusion-contest/. The 3-D part of the contest is discussed in the Part-B paper [1].

Item Type:Article
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in volume 9 of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. ISSN: 1939-1404The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/7536139/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Office National d'Etudes et Recherches Aérospatiales - ONERA (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
10.13039/501100004837-MICINN under a Ramon y Cajal Fellowship - 10.13039/501100004963-European Union Seventh Framework Program FP7/2007-2013 - 10.13039/100003925-LSA SAF (EUMETSAT) project - 10.13039/501100000781-European Research Council European Research Council funding of the ERC-CoG-2014 SEDAL Consolidator Grant 647423 - SEDAL Consolidator - Spanish Ministry of Economy and Competitiveness : Project LIFE-VISION TIN2012-38102-C03-01 - APIF-UB grant - 10.13039/501100001711-Swiss National Science Foundation under Grant PP00P2-150593
Deposited On:13 Feb 2018 16:00

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