Proposed Framework for Aligning 3D Thermal Imaging Models Using UAVs

South Korea aims to reduce greenhouse gas (GHG) emissions by 40% by 2030 and over 80% by 2050, with buildings accounting for a significant portion of emissions. Aging structures, comprising 41% of the nation's buildings, suffer from poor insulation, increasing energy consumption and emissions. This study proposes a drone-based method using thermal imaging cameras to assess building insulation performance. Drones efficiently inspect large and high-rise buildings, ensuring consistent data collection. Using advanced software like Agisoft Metashape, thermal images are precisely mapped onto 3D mesh models, addressing issues of inconsistency in traditional methods. By transitioning from analog to digital techniques, this framework enhances accuracy, visualizes energy loss, and supports sustainable building management. The approach contributes to achieving national carbon neutrality goals and provides a scalable solution for reducing building-related GHG emissions.

Authors

Publication Details

Journal
Korean Journal of Computational Design and Engineering
Published
2025-03-31
DOI
https://doi.org/10.7315/cde.2025.024
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proposed Framework for Aligning 3D Thermal Imaging Models Using UAVs

Kyong-hoon Kim, Se Jin Hwang, Sanghyo Lee, Sungjin Lim
Korean Journal of Computational Design and Engineering
Infrared Target Detection Methodologies
article

Proposed Framework for Aligning 3D Thermal Imaging Models Using UAVs

Kyong-hoon Kim, Se Jin Hwang, Sanghyo Lee, Sungjin Lim
article en

Abstract

South Korea aims to reduce greenhouse gas (GHG) emissions by 40% by 2030 and over 80% by 2050, with buildings accounting for a significant portion of emissions. Aging structures, comprising 41% of the nation's buildings, suffer from poor insulation, increasing energy consumption and emissions. This study proposes a drone-based method using thermal imaging cameras to assess building insulation performance. Drones efficiently inspect large and high-rise buildings, ensuring consistent data collection. Using advanced software like Agisoft Metashape, thermal images are precisely mapped onto 3D mesh models, addressing issues of inconsistency in traditional methods. By transitioning from analog to digital techniques, this framework enhances accuracy, visualizes energy loss, and supports sustainable building management. The approach contributes to achieving national carbon neutrality goals and provides a scalable solution for reducing building-related GHG emissions.

Korean Journal of Computational Design and EngineeringVol. 30(1)
Affordable and clean energy
Openalex Percentile: Top 92%
Infrared Target Detection Methodologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Proposed Framework for Aligning 3D Thermal Imaging Models Using UAVs — Kyong-hoon Kim, Se Jin Hwang, et al. · Korean Journal of Computational Design and Engineering (2025) | TGRS Research Map | TGRS