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

doi:10.1117/12.2537915

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 or section in a book/report/conference proceeding › Chapter in a published conference proceeding

6 Citations (SciVal)

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 language	English
Title of host publication	Seventh International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019
Editors	Kyriacos Themistocleous, Giorgos Papadavid, Silas Michaelides, Vincent Ambrosia, Diofantos G. Hadjimitsis
Publisher	SPIE
ISBN (Electronic)	9781510630611
DOIs	https://doi.org/10.1117/12.2537915
Publication status	Published - 27 Jun 2019
Event	7th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019 - Paphos, Cyprus Duration: 18 Mar 2019 → 21 Mar 2019

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11174
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	7th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019
Country/Territory	Cyprus
City	Paphos
Period	18/03/19 → 21/03/19

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

Access to Document

10.1117/12.2537915

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 Article 111741M (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11174). SPIE. https://doi.org/10.1117/12.2537915

Open source software DASOS: Efficient accumulation, analysis, and visualisation of full-waveform lidar. / Miltiadou, M.; Grant, Michael G.; Campbell, N. D.F. et al.
Seventh International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019. ed. / Kyriacos Themistocleous; Giorgos Papadavid; Silas Michaelides; Vincent Ambrosia; Diofantos G. Hadjimitsis. SPIE, 2019. 111741M (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11174).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Miltiadou, M, Grant, MG, Campbell, NDF, Warren, M, Clewley, D & Hadjimitsis, DG 2019, Open source software DASOS: Efficient accumulation, analysis, and visualisation of full-waveform lidar. in K Themistocleous, G Papadavid, S Michaelides, V Ambrosia & DG 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, 7th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019, Paphos, Cyprus, 18/03/19. https://doi.org/10.1117/12.2537915

Miltiadou M, Grant MG, Campbell NDF, Warren M, Clewley D, Hadjimitsis DG. Open source software DASOS: Efficient accumulation, analysis, and visualisation of full-waveform lidar. In Themistocleous K, Papadavid G, Michaelides S, Ambrosia V, Hadjimitsis DG, editors, Seventh International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019. SPIE. 2019. 111741M. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2537915

Miltiadou, M. ; Grant, Michael G. ; Campbell, N. D.F. et al. / Open source software DASOS : Efficient accumulation, analysis, and visualisation of full-waveform lidar. Seventh International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019. editor / Kyriacos Themistocleous ; Giorgos Papadavid ; Silas Michaelides ; Vincent Ambrosia ; Diofantos G. Hadjimitsis. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).

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

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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