Open source software DASOS: Efficient accumulation, analysis, and visualisation of full-waveform lidar

M. Miltiadou, Michael G. Grant, N. D.F. Campbell, M. Warren, D. Clewley, Diofantos G. Hadjimitsis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Full-waveform (FW) LiDAR have been available for 20 years, but compared to discrete LiDAR, there are very few researchers exploiting these data due to the increased complexity. DASOS is an open source command-line software developed for improving the adoption of FW LiDAR in Earth Observation related applications. It uses voxelisation for interpreting the data, which is fundamentally different from the state-of-art tools interpreting FW LiDAR. There are four key features of DASOS: (1) Generation of polygonal meshes by extracting an iso-surface from the voxelised data. (2) the 2D FW LiDAR metrics exported in standard GIS format; each pixel corresponds to a column from the voxelised space and contains information about the spread of the non-open voxels, (3) efficient alignment with hyperspectral imagery using a hashed table with buckets of geolocated hyperspectral pixels. The outputs of the alignment are coloured polygonal meshes, and aligned metrics. (4) The extraction of 3D raw or composite features into vectors using 3D-windows; these feature vectors can be used in machine learning for describing objects, such as trees. Machine learning approaches (e.g. random forest) could be used for classifying trees in the 3D-voxelised space.

Original languageEnglish
Title of host publicationSeventh International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019
EditorsKyriacos Themistocleous, Giorgos Papadavid, Silas Michaelides, Vincent Ambrosia, Diofantos G. Hadjimitsis
PublisherSPIE
ISBN (Electronic)9781510630611
DOIs
Publication statusPublished - 27 Jun 2019
Event7th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019 - Paphos, Cyprus
Duration: 18 Mar 201921 Mar 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11174
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference7th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019
CountryCyprus
CityPaphos
Period18/03/1921/03/19

Keywords

  • Data analysis
  • Forestry
  • Full-waveform LiDAR
  • Remote Sensing
  • Software Engineering

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Miltiadou, M., Grant, M. G., Campbell, N. D. F., Warren, M., Clewley, D., & Hadjimitsis, D. G. (2019). Open source software DASOS: Efficient accumulation, analysis, and visualisation of full-waveform lidar. In K. Themistocleous, G. Papadavid, S. Michaelides, V. Ambrosia, & D. G. Hadjimitsis (Eds.), Seventh International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019 [111741M] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11174). SPIE. https://doi.org/10.1117/12.2537915