| Title |
Applicability Evaluation of a DIM Mesh-Based Automated True Orthoimage Generation Method for Various Types of Aerial Imagery |
| Authors |
송영선(Song, YeongSun);윤공현(Yun, Konghyun) |
| DOI |
https://doi.org/10.12652/Ksce.2026.46.3.0301 |
| Keywords |
True orthoimage; Dense Image Matching; DIM mesh structure; Digital Building Model; Aerial photogrammetry |
| Abstract |
True orthoimages, which correct relief displacement caused by terrain and above-ground structures such as buildings, have become important geospatial products for digital twins and smart city applications. However, the conventional workflow based on 3D stereo-plotting requires extensive manual work for digital building model generation, limiting its scalability for nationwide production. This study evaluates the applicability of an automated true orthoimage generation workflow based on Dense Image Matching (DIM) meshes and examines its technical validity through comparison with the conventional 3D stereo-plotting approach. Aerial images acquired with 80 %×80 % overlap using Falcon, DMC2, DMC3, and Osprey cameras were processed with Bentley iTwin Capture Modeler, nFrame SURE, and Trimble Inpho, and the results were compared with those from the conventional approach. The DIM mesh-based workflow produced mean planar errors of 0.148-0.359 m at rooftop checkpoints, showing positional accuracy comparable to the conventional method. It also significantly reduced processing effort, although software-specific differences were found in boundary representation and error correction. Based on these results, this study redefines quality inspection items for DIM mesh-based true orthoimages and discusses the differentiated characteristics of automated production approaches in multi-sensor environments. |