Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part B: 3-D Contest

A. V. Vo, L. Truong-Hong, D. F. Laefer, D. Tiede, S. Doleire-Oltmanns, A. Baraldi, M. Shimoni, G. Moser, D. Tuia

Research output: Contribution to journalArticle

Abstract

In this paper, we report the 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. 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 (with a ground sample distance of 5 cm) and a 3-D light detection and ranging point cloud (with a point cloud density of approximatively 65 pts/m2 ). The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this Part B, we report the results obtained by the winners of the 3-D contest, which explored challenging tasks of road extraction and ISO containers identification, respectively. The 2-D part of the contest and a detailed presentation of the dataset are discussed in Part A.

Original languageEnglish (US)
Pages (from-to)5560-5575
Number of pages16
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume9
Issue number12
DOIs
StatePublished - Dec 2016

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Keywords

  • Image analysis and data fusion (IADF)
  • light detection and ranging (LiDAR)
  • multimodal-data fusion
  • multiresolution-data fusion
  • multisource-data fusion
  • object identification
  • road detection
  • very high resolution (VHR) data

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Atmospheric Science

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