TY - GEN
T1 - A COMPARISON between STRUCTURE-FROM-MOTION and TERRESTRIAL LASER SCANNING for DERIVING SURFACE ROUGHNESS
T2 - 2020 International Conference on Geomatics in the Big Data Era, ICGBD 2020
AU - Fan, L.
N1 - Publisher Copyright:
© Authors 2020.
PY - 2020/2/7
Y1 - 2020/2/7
N2 - 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.
AB - 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.
KW - point clouds
KW - structure-from-motion
KW - surface roughness
KW - terrestrial laser scanning
UR - http://www.scopus.com/inward/record.url?scp=85083277772&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLII-3-W10-1225-2020
DO - 10.5194/isprs-archives-XLII-3-W10-1225-2020
M3 - Conference Proceeding
AN - SCOPUS:85083277772
VL - 42
T3 - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SP - 1225
EP - 1229
BT - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Y2 - 15 November 2019 through 19 November 2019
ER -