A COMPARISON between STRUCTURE-FROM-MOTION and TERRESTRIAL LASER SCANNING for DERIVING SURFACE ROUGHNESS: A CASE STUDY on A SANDY TERRAIN SURFACE

L. Fan*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

8 Citations (Scopus)

Abstract

Structure-from-motion (SfM) is a useful technique for acquiring the topographic information of terrain surfaces for a wide range of geoscience applications. Due to its easy mobilization and cost-effective implementation, the SfM technique may be considered as a favourable alternative to the laser scanning technique in some applications. To this end, it is essential to understand how point cloud data derived using these two different surveying techniques affect the geographic information system (GIS) outputs such as local surface roughness of a terrain surface. In this case study, a small sandy terrain surface was surveyed using a terrestrial laser scanner and the digital camera of a mobile phone, respectively. Analyses were carried out to check the measurement quality of the SfM-derived point cloud and to explore the differences in local surface roughness calculated using the SfM-derived point cloud and that from the scanner, respectively. In addition, it looked into how those differences were affected by different surface roughness descriptors and the associated input parameters (mainly window sizes). Two commonly used methods for describing local surface roughness were considered, consisting of root mean square height and standard deviation of slope.

Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Pages1225-1229
Number of pages5
Volume42
Edition3/W10
DOIs
Publication statusPublished - 7 Feb 2020
Event2020 International Conference on Geomatics in the Big Data Era, ICGBD 2020 - Guilin, China
Duration: 15 Nov 201919 Nov 2019

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
ISSN (Print)1682-1750

Conference

Conference2020 International Conference on Geomatics in the Big Data Era, ICGBD 2020
Country/TerritoryChina
CityGuilin
Period15/11/1919/11/19

Keywords

  • point clouds
  • structure-from-motion
  • surface roughness
  • terrestrial laser scanning

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