Development of an algorithm to generate pit-free Digital Surface Models from LiDAR

Anahita Khosravipour, Andrew K. Skidmore, Martin Isenburg, Tiejun Wang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Highlights: We present a novel algorithm for generating pit-free Digital Surface Models directly from raw point clouds. It can generate both raster and TIN outputs. It considers all points (not only first returns) and avoids pit creation by "freezing" higher-up triangles as it constructs a pit-free TIN using incremental constrained Delaunay.
Original languageEnglish
Title of host publicationProceedings of SilviLaser 2015
Subtitle of host publication14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems : September 28-30, 2015 – La Grande Motte, France
EditorsS. Durrieu, C. Véga
Place of PublicationGermany
PublisherInternational Society for Photogrammetry and Remote Sensing ISPRS
Pages247-249
Number of pages3
Publication statusPublished - 2015
Externally publishedYes
EventSilviLaser 2015 (14th : 2015) - , France
Duration: 28 Sep 201530 Sep 2015
Conference number: 14th

Conference

ConferenceSilviLaser 2015 (14th : 2015)
CountryFrance
Period28/09/1530/09/15

Keywords

  • LiDAR
  • Point cloud
  • Forestry
  • Digital Surface Model
  • TIN
  • Raster
  • Data pits

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    Khosravipour, A., Skidmore, A. K., Isenburg, M., & Wang, T. (2015). Development of an algorithm to generate pit-free Digital Surface Models from LiDAR. In S. Durrieu, & C. Véga (Eds.), Proceedings of SilviLaser 2015: 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems : September 28-30, 2015 – La Grande Motte, France (pp. 247-249). Germany: International Society for Photogrammetry and Remote Sensing ISPRS.