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NTIS 바로가기지적과 국토정보 = Journal of cadastre & land informatix, v.51 no.1, 2021년, pp.79 - 95
임성하 (한국국토정보공사 글로벌사업처 공간정보사업처) , 김호종 (한국국토정보공사 혁신전략부) , 이돈선 (공간정보연구원 연구기획실)
This study evaluates the applicability of determining cadastral surveying results using drone photogrammetry during the phase of determining cadastral surveying results, which is the most important stage of cadastral surveying, but known to be hardly objective and highly probable in causing a subjec...
Ko MS. 2016. Analyzing the Resection Method Based Positioning Techniques for Cadastral Survey in Korea. Thesis for Master degree. Graduate Department of Spatial Information University of Seoul.
The Korean Law Information Center, Enforcement Spatial Information Management Act. [http://www.law.go.kr]. Last accessed 12 January 2021.
Ru BC. 2017. Cadastral History. Buyeon Press.
Park WC. 2011. Implementation of Cadastral Results Determine System for Position Accuracy Improvement. Thesis for Doctoral degree. Graduate Department of civil & Environmental Engineering Myongji University.
Park CY. Accuracy Analysis of Parcel Demarcation Using High Resolution Aerial Images in Combination with Airborne LiDAR Data. Thesis for Doctoral degree. Graduate Department of Civil Engineering Dong-A University.
Sung Sm. Quality Verification and Utilization of Ultra-Light UAV Imagery in Parcel Boundary Delineation. Thesis for Master degree. Graduate Department of Civil Engineering Dong-A University.
Yoo JM. 2017. Ortho Image Generation and Accuracy Analysis Using Non-Surveying Drone and Land Boundary Points. Thesis for Master degree. Graduate Department of Civil Engineering Chungnam University.
Lim SH. 2020. A Study on 3D Model Building of Drone-Based Urban Digital Twin. Journal of Cadastre & Land InformatiX 50(1):168-180
하정이. 2017, UAV를 활용한 지적확정측량 성과검사 방법에 관한 연구. 인하대학교 공간정보학과. 석사학위 논문 A study on validation of cadastral confirmation survey by using UAV. Thesis for Master degree. Graduate Department of Spatial Information Inha University.
Korea Land and Geospatial Informatix Corporation, 2019, Surveying Task System(LandGo) User's Guide V1.0
DG Lowe. 1999. Object recognition from local scale-invariant features. Proceedings of the Seventh IEEE International Conference on Computer Vision. ISBN: 0-7695-0164-8
Noah Snavely. Steven M. Seitz. Richard Szeliski. 2006. Photo tourism: exploring photo collection in 3d. University of Washington.
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