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Generalized sparse convolutional neural networks for semantic segmentation of point clouds derived from tri-stereo satellite imagery

  • Stefan Bachhofner
  • , Ana Maria Loghin
  • , Johannes Otepka
  • , Norbert Pfeifer
  • , Michael Hornacek
  • , Andrea Siposova
  • , Niklas Schmidinger
  • , Kurt Hornik
  • , Nikolaus Schiller
  • , Olaf Kähler
  • , Ronald Hochreiter
  • WU Vienna University of Economics and Business
  • TU Wien
  • Siemens
  • Vermessung Schmid ZT GmbH
  • Webster University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number1289
JournalRemote Sensing
Volume12
Issue number8
DOIs
Publication statusPublished - 1 Apr 2020
Externally publishedYes

Keywords

  • 2.5D segmentation
  • 3D segmentation
  • Deep learning
  • Derived point clouds
  • Image segmentation
  • Machine learning
  • Semantic segmentation
  • Tri-stereo
  • Very high resolution (VHR) satellite imagery

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