Automatically Create Digital Elevation Model from Photos Captured by a Low-Cost UAV-Based System

Conference paper (2023)

Authors

Kiet Tuan Nguyen Vietnam National University, Ho Chi Minh City University of Technology (HCMUT)
Anh Thu Thi Phan Vietnam National University, Ho Chi Minh City University of Technology (HCMUT)
Linh Truong-Hong Optical and Laser Remote Sensing - CEG
Research Group
Optical and Laser Remote Sensing (CEG) (TU Delft)
Copyright: © 2023 Kiet Tuan Nguyen, Anh Thu Thi Phan, Linh Truong-Hong
DOI
help_outline
https://doi.org/10.1007/978-981-99-7434-4_176
Unmanned Aerial Vehicles Digital Elevation Models Structure from Motion UAV Photogrammetry
More Info
expand_more

Published Date

2023

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Optical and Laser Remote Sensing

Abstract

Unmanned aerial vehicles (UAVs) are commonly utilized as cost-effective devices for data collection by capturing photos of target objects. UAV images have been used for many applications, such as civil engineering, transportation, architecture, surveying, and mapping. Although commercial UAV image data processing software is suitable for generating orthoimages and dense point clouds of surfaces, it still requires extensive labor to prepare the appropriate point cloud to create a digital elevation model (DEM). This study proposes a method to automatically create DEM from a point cloud generated from UAV images. The proposed method composes of three main steps: (1) Candidate ground points, (2) Ground points extraction, and (3) Creation of a DEM model. The proposed method was tested on three datasets, covering a total area of approximately 45 hectares from 200 images captured by DJI Phantom 4 drone. As a result, the DEMs are successfully created with a spatial resolution of 1.0 m.