Research Article

Optimizing close-range photogrammetry solutions for network configuration with accessibility-related constraints

Volume: 11 Number: 1 October 1, 2025

Optimizing close-range photogrammetry solutions for network configuration with accessibility-related constraints

Abstract

Renowned for its ability to attain high-accuracy data, close-range photogrammetry (CRP) is a reliable technique for 3D measurements of both exterior and interior surfaces. However, the accessibility-related constraints require different imaging configurations (i.e., network design) when using a digital camera to effectively reconstruct complete interior surfaces with the CRP approach. Given these limitations, this study aimed to determine the optimal digital image matching configuration that maintains the quality of CRP measurements. To address this, experiments were conducted in a test field that designed to reflect these constraints. The methodology consisted of four main components: i) the selection of the study area; ii) image acquisition; iii) image processing (i.e., image-matching); and iv) evaluation. Digital image matching was performed using two different approaches: i) the consecutive network and ii) the L-shape network (separated image matching). To validate the methods, their accuracy was assessed using two procedures: the establishment of scale bars and independent vectors from targets. Based on the calculated vectors, the L-shape network demonstrated up to 47% higher accuracy compared to the consecutive network. Consequently, it can be concluded that the L-shape network is an effective processing method for overcoming spatial constraints in CRP measurements.

Keywords

References

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Details

Primary Language

English

Subjects

Photogrametry

Journal Section

Research Article

Early Pub Date

August 25, 2025

Publication Date

October 1, 2025

Submission Date

February 24, 2025

Acceptance Date

May 28, 2025

Published in Issue

Year 2026 Volume: 11 Number: 1

APA
Abd Razak, N. N., Abbas, M. A., Kamaruzzaman, M. A. H., Chong, A.- fook, & Mohd Hashim, N. (2025). Optimizing close-range photogrammetry solutions for network configuration with accessibility-related constraints. International Journal of Engineering and Geosciences, 11(1), 54-63. https://doi.org/10.26833/ijeg.1645760
AMA
1.Abd Razak NN, Abbas MA, Kamaruzzaman MAH, Chong A fook, Mohd Hashim N. Optimizing close-range photogrammetry solutions for network configuration with accessibility-related constraints. IJEG. 2025;11(1):54-63. doi:10.26833/ijeg.1645760
Chicago
Abd Razak, Nur Nazura, Mohd Azwan Abbas, Muhamad Aliff Haikal Kamaruzzaman, Albertkon-fook Chong, and Norshahrizan Mohd Hashim. 2025. “Optimizing Close-Range Photogrammetry Solutions for Network Configuration With Accessibility-Related Constraints”. International Journal of Engineering and Geosciences 11 (1): 54-63. https://doi.org/10.26833/ijeg.1645760.
EndNote
Abd Razak NN, Abbas MA, Kamaruzzaman MAH, Chong A- fook, Mohd Hashim N (October 1, 2025) Optimizing close-range photogrammetry solutions for network configuration with accessibility-related constraints. International Journal of Engineering and Geosciences 11 1 54–63.
IEEE
[1]N. N. Abd Razak, M. A. Abbas, M. A. H. Kamaruzzaman, A.- fook Chong, and N. Mohd Hashim, “Optimizing close-range photogrammetry solutions for network configuration with accessibility-related constraints”, IJEG, vol. 11, no. 1, pp. 54–63, Oct. 2025, doi: 10.26833/ijeg.1645760.
ISNAD
Abd Razak, Nur Nazura - Abbas, Mohd Azwan - Kamaruzzaman, Muhamad Aliff Haikal - Chong, Albertkon-fook - Mohd Hashim, Norshahrizan. “Optimizing Close-Range Photogrammetry Solutions for Network Configuration With Accessibility-Related Constraints”. International Journal of Engineering and Geosciences 11/1 (October 1, 2025): 54-63. https://doi.org/10.26833/ijeg.1645760.
JAMA
1.Abd Razak NN, Abbas MA, Kamaruzzaman MAH, Chong A- fook, Mohd Hashim N. Optimizing close-range photogrammetry solutions for network configuration with accessibility-related constraints. IJEG. 2025;11:54–63.
MLA
Abd Razak, Nur Nazura, et al. “Optimizing Close-Range Photogrammetry Solutions for Network Configuration With Accessibility-Related Constraints”. International Journal of Engineering and Geosciences, vol. 11, no. 1, Oct. 2025, pp. 54-63, doi:10.26833/ijeg.1645760.
Vancouver
1.Nur Nazura Abd Razak, Mohd Azwan Abbas, Muhamad Aliff Haikal Kamaruzzaman, Albertkon-fook Chong, Norshahrizan Mohd Hashim. Optimizing close-range photogrammetry solutions for network configuration with accessibility-related constraints. IJEG. 2025 Oct. 1;11(1):54-63. doi:10.26833/ijeg.1645760

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