Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery

H. Bernsteiner, N. Broåová, I. Eischeid, A. Hamer, S. Haselberger, M. Huber, A. Kollert, T. M. Vandyk, F. Pirotti

Research output: Contribution to journalConference articlepeer-review

Original languageEnglish
Pages (from-to)431-437
Number of pages7
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume5
Issue number3
DOIs
Publication statusPublished - 3 Aug 2020
Event2020 24th ISPRS Congress on Technical Commission III - Nice, Virtual, France
Duration: 31 Aug 20202 Sept 2020

Keywords

  • High Mountain Environment
  • Machine Learning
  • Structure from Motion
  • Surface Classification
  • Terrestrial Photogrammetry

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