UAV 사진측량기반 3D 모델을 이용한 지적재조사사업 적용 가능성 연구 : 울산광역시 서부4 지적재조사지구를 대상으로

다국어 초록 (Multilingual Abstract)

This study analyzed the applicability of a UAV photogrammetry-derived 3D model as a boundary verification tool for the cadastral resurvey project in a densely built urban residential area. The study focused on the Seobu 4 Cadastral Resurvey District in Ulsan, Korea, where densely distributed buildings, narrow alleys, retaining walls, and severe occlusions limit the effectiveness of conventional ground surveying and 2D image-based boundary verification methods.
To overcome these limitations, UAV imagery was acquired using a combined flight strategy of vertical and oblique photography with a double-grid flight pattern and high image overlap. A mesh-based 3D model was generated using Structure from Motion （SfM） and Multi-View Stereo （MVS） techniques. Positional accuracy was evaluated using Ground Control Points （GCPs） and Check Points （CPs）, while extracted boundary coordinates were compared with provisional cadastral boundaries, cadastral surveying data, and field verification measurements to assess spatial consistency and boundary discrepancies.
The results showed that the UAV-based 3D model generally satisfied the positional accuracy requirements for cadastral resurvey projects. Most sample boundary points were within the legal tolerance of ±0.07 m, and the model demonstrated stable spatial consistency even in a complex urban environment. The 3D model also enabled effective analysis of boundary discrepancies associated with building protrusions, retaining walls, fences, and narrow alley structures that are difficult to interpret using conventional 2D orthophotos.
The study confirmed that integrating UAV-derived 3D spatial information with boundary surveying data and provisional boundary plans can improve the interpretability of cadastral boundary verification and support decision-making during the cadastral resurvey process. The results indicate that UAV-based 3D models can serve as practical tools for identifying spatial relationships and analyzing the causes of boundary inconsistencies.
However, severe occlusion, shadows, and restricted visibility limited the complete reconstruction of some boundary features, indicating the need for complementary ground surveying and field verification.
Overall, this study demonstrates that UAV photogrammetry-derived 3D models have practical applicability as supplementary spatial information for cadastral boundary verification and can contribute to improving the efficiency, interpretability, and spatial reliability of urban cadastral resurvey projects.
Keywords: UAV Photogrammetry, UAV-based 3D Model, Cadastral Resurvey Project, Boundary Verification, Urban Dense Area, Spatial Consistency, UAV Spatial Information

목차 (Table of Contents)

• 제1장 서론 1
• 1.1. 연구배경 및 목적 1
• 1.1.1. 연구배경 1
• 1.1.2. 연구목적 3
• 1.2. 연구범위 및 방법 3
• 1.3. 문헌고찰 6
• 1.3.1. UAV 기반 3D 모델 활용성과 지적재조사 적용 가능성 6
• 1.3.2. 영상 취득 조건에 따른 정확도 분석 10
• 1.4. 연구의 차별성 12
• 제2장 이론적 고찰 13
• 2.1. 지적재조사사업 13
• 2.1.1. 지적재조사사업의 개념 및 추진현황 13
• 2.1.2. 지적재조사사업 책임수행기관 제도 15
• 2.2. 경계설정 16
• 2.2.1. 경계의 정의 16
• 2.2.2. 지적재조사사업의 경계설정 기준 17
• 2.3. 지적재조사 측량 19
• 2.3.1. 지적재조사 측량 방법 19
• 2.3.2. 지적재조사 측량 절차 21
• 2.4. 지적재조사 업무지원 도구 26
• 2.4.1. 랜디고(측량업무시스템) 26
• 2.4.2. 바른땅시스템 27
• 2.5. 3차원 공간정보와 UAV 28
• 2.5.1. 3차원 공간정보의 유형과 특성 28
• 2.5.2. UAV 기반 사진측량 30
• 2.6. UAV 기반 3D 모델링 31
• 2.6.1. UAV 기반 3D 모델링 기법 31
• 2.6.2. 3D 모델 정확도 검증 방법 35
• 제3장 UAV 사진측량기반 3D 모델 구축 및 정확도 검증 37
• 3.1. 연구 개요 37
• 3.1.1. 연구방법 및 절차 37
• 3.1.2. 연구대상지 39
• 3.1.3. 기초자료 수집 40
• 3.2. UAV 촬영 및 3D 모델 구축 42
• 3.2.1. 촬영계획 수립 42
• 3.2.2. 지상기준점 측량 43
• 3.2.3. UAV 촬영 및 자료 취득 45
• 3.2.4. UAV 자료 처리 및 3D 모델 구축 47
• 3.3. 연구결과 및 분석 49
• 3.3.1. 지상기준점을 이용한 3D 모델 정확도 평가 49
• 3.3.2. 3D 모델에서의 표본 경계점 좌표 취득 51
• 3.3.3. 3D 모델과 경계설정(안)의 경계점 오차 분석 53
• 3.3.4. 허용오차 초과 경계점의 오차 원인 분석 57
• 3.4. 고찰 67
• 제4장 결론 72
• 4.1. 연구성과 요약 72
• 4.2. 연구의 한계 및 향후 연구과제 74
• 4.3. 정책적 제언 75
• 참고문헌 77