JOURNAL ARTICLE

Digital Terrain Model extraction using digital aerial imagery of Unmanned Aerial Vehicle

Abstract

Digital Terrain Model (DTM) is extensively applied in various fields such as surveying and construction engineering, natural disaster management system, structure monitoring, and many more. Generally, the demand on accuracy and very detail information of DTM extraction is crucial for most of the applications. The advancement of photogrammetry and spin-off technology has advantageous in extracting highly accurate DTM. Currently, the DTM can be extracted from digital aerial imagery of small format camera mounted on light weight platform such as Unmanned Aerial Vehicle (UAV). The study is performs to assess the accuracy of DTM derived from UAV platform. Canon PENTAX W90 is utilized as non-metric camera for the earth information acquisition. In this study, 23 points of three dimensional coordinates (3D) were established using real time kinematic Global Positioning System (RTK-GPS) technique. Sixteen points are used in ground control point (GCP) for the purposes of aerial triangulation while seven as check point (CP) for accuracy assessment. The research output is then evaluated for planimetry and vertical accuracy using root mean square error (RMSE). Based on the analysis, sub-meter accuracy is obtained. As conclusion, UAV digital imagery can be used for accurate applications.

Keywords:
Photogrammetry Computer science Triangulation Terrain Computer vision Artificial intelligence Digital elevation model Aerial survey Global Positioning System Remote sensing Digital camera Total station Ground truth Geography Geodesy Cartography

Metrics

9
Cited By
1.17
FWCI (Field Weighted Citation Impact)
10
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
Remote Sensing in Agriculture
Physical Sciences →  Environmental Science →  Ecology

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