Beta
ManageSearchChatDiscover
261815

Assessment of Using UAV Imagery over Featureless Surfaces for Topographic Applications

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

Civil Engineering

Abstract

The growth and development of Unmanned Aerial Vehicles (UAVs) as a photogrammetric platform, concurrently with the advances in Computer Vision (CV) and image processing algorithms have resulted using UAV Photogrammetry in several topographic applications. CV software algorithms rely on extracting, describing, and matching tie points from the sequences overlapping images to generate 3D colored point clouds. One of the biggest problems obstructing the automated processing of UAV imagery is the featureless of the covered surface. This paper has provided the ability, results, and accuracy of processing images captured by UAVs over non-textured sandy surfaces by providing four aligning and geo-referencing techniques. These four methods, IG/blind matching, IG/reference matching, DG/blind matching, and DG/reference matching, have been presented and tested for 630 aerial images with 80 % overlap and 80 % side lap covered approximately 1 km2 at altitude 178 m above ground level (AGL). The results showed that the captured images could be used to extract the photogrammetric topographical measurements with reliable accuracy.  The four techniques' geometric accuracy has ranged between (0.043 m to 0.076 m) & (0.047 m to 0.074) for generated point clouds and linear exterior orientation (EO) parameters, respectively. The indirect geo-referencing with reference matching (IG/reference) recorded the highest-level accuracy of point clouds with 0.043m RMSE compared to the direct geo-referencing with reference matching (DG/reference) which gave the highest geometric accuracy of the linear EO parameters with 0.047m

DOI

10.21608/bfemu.2022.261815

Keywords

UAV imagery, Featureless surfaces, Image processing, UAV Photogrammetry

Authors

First Name

Ahmed

Last Name

Taha

MiddleName

-

Affiliation

Lecturer, Department of Civil Engineering, Benha Faculty of Engineering, Benha University, Egypt

Email

ahmed.soliman@bhit.bu.edu.eg

City

-

Orcid

-

First Name

Mostafa

Last Name

Rabah

MiddleName

-

Affiliation

Professor of Surveying and Geodesy, Department of Civil Engineering, Benha Faculty of Engineering, Benha University, Egypt

Email

mrabah@bhit.bu.edu.eg

City

Benha

Orcid

-

First Name

Rasha

Last Name

Mohie

MiddleName

-

Affiliation

Lecturer, Department of Civil Engineering, Benha Faculty of Engineering, Benha University, Egypt

Email

rasha.abdelfattah@bhit.bu.edu.eg

City

-

Orcid

-

First Name

Ahmed

Last Name

Elhadary

MiddleName

-

Affiliation

Assistant lecturer, Department of Civil Engineering, Benha Faculty of Engineering, Benha University, Egypt

Email

ahmed.elhadari@bhit.bu.edu.eg

City

Benha

Orcid

-

First Name

Essam

Last Name

Ghanem

MiddleName

-

Affiliation

Lecturer, Department of Civil Engineering, Benha Faculty of Engineering, Benha University, Egypt

Email

essam.ghanem@bhit.bu.edu.eg

City

Cairo

Orcid

-

Volume

47

Article Issue

1

Related Issue

30304

Issue Date

2022-02-01

Receive Date

2021-12-25

Publish Date

2022-09-28

Page Start

25

Page End

34

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 47_Issue 1_Pages 25-34.pdf

PDF . 2.1MB

Link

https://bfemu.journals.ekb.eg/article_261815.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=261815

Order

18

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023