@article{ART003370762},
author={Woon-Yong Kim},
title={Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={8},
pages={159-169}
TY - JOUR
AU - Woon-Yong Kim
TI - Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 8
PB - The Korean Society Of Computer And Information
SP - 159
EP - 169
SN - 1598-849X
AB - This paper aims to improve the limitations of drone surveying, where the placement of Ground Control Points (GCPs) and Check Points (CPs) depends largely on operator experience and fieldwork time. To achieve this, it proposes an automatic GCP/CP candidate generation method based on survey area shape analysis and constraint filtering. The proposed method calculates geometric indicators of the drone survey area, such as area, perimeter, aspect ratio, circularity, rectangular fitness, convexity, and linearity. Based on these indicators, the survey area is classified into types such as square, rectangle, circle, ellipse, linear infrastructure, and triangle, and type-specific placement rules are applied to generate GCP and CP candidates automatically. In addition, unsuitable candidates are filtered by considering exclusion features such as buildings, roads, rivers and forests, as well as boundary offset conditions. Replacement candidates are then generated while maintaining the original placement role.
The placement efficiency of the generated candidates is evaluated using Voronoi distribution analysis, Delaunay network analysis, and CP independence assessment. Through these evaluations, the spatial distribution uniformity of GCPs, network stability, and independent validation capability of CPs can be quantitatively verified. Therefore, the proposed method can support an efficient GCP/CP distribution strategy and contribute to improving drone surveying quality and mission-planning efficiency.
KW - GCP;CP;drone surveying;shape analysis;constraint filtering;Voronoi;Delaunay
DO -
UR -
ER -
Woon-Yong Kim. (2026). Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering. Journal of The Korea Society of Computer and Information, 31(8), 159-169.
Woon-Yong Kim. 2026, "Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering", Journal of The Korea Society of Computer and Information, vol.31, no.8 pp.159-169.
Woon-Yong Kim "Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering" Journal of The Korea Society of Computer and Information 31.8 pp.159-169 (2026) : 159.
Woon-Yong Kim. Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering. 2026; 31(8), 159-169.
Woon-Yong Kim. "Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering" Journal of The Korea Society of Computer and Information 31, no.8 (2026) : 159-169.
Woon-Yong Kim. Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering. Journal of The Korea Society of Computer and Information, 31(8), 159-169.
Woon-Yong Kim. Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering. Journal of The Korea Society of Computer and Information. 2026; 31(8) 159-169.
Woon-Yong Kim. Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering. 2026; 31(8), 159-169.
Woon-Yong Kim. "Automatic Generation of GCP/CP Candidate Points Using Survey Area Shape Analysis and Constraint Filtering" Journal of The Korea Society of Computer and Information 31, no.8 (2026) : 159-169.
