Mapping archeological signs from airborne lidar data using deep neural networks: Primary results

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract


– Complexity of large-scale Airborne LIDAR data: its processing, and interpretation emerges the necessity of automated analysis with novel techniques.

– Detection and documentation of archaeological ruins, hidden in the forests of the Swedish landscape.
Original languageEnglish
Title of host publication14th International Conference of Archaeological Prospection
Pages291-293
Number of pages3
Volume45
Edition1
DOIs
Publication statusPublished - 2021

Publication series

NameArcheoSciences
ISSN (Print)1960-1360

Subject classification (UKÄ)

  • Computer and Information Science
  • Archaeology

Keywords

  • Airborne LIDAR
  • Artificial intelligence
  • Deep neural networks
  • Feature extraction
  • Unet

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