DOI QR코드

DOI QR Code

Development of Linking & Management System for High-Resolution Raw Geo-spatial Data based on the Point Cloud DB

Point Cloud 기반의 고해상도 원시데이터 연계 및 관리시스템 개발

  • KIM, Jae-Hak (Geo-Spatial Information Planing Team, Geostory Co. Ltd.) ;
  • LEE, Dong-Ha (Dept. of Civil Engineering, Kangwon National University)
  • 김재학 ((주)지오스토리 공간정보기획팀) ;
  • 이동하 (강원대학교 건축.토목.환경공학부)
  • Received : 2018.10.18
  • Accepted : 2018.12.18
  • Published : 2018.12.31

Abstract

3D Geo-spatial information models have been widely used in the field of Civil Engineering, Medical, Computer Graphics, Urban Management and many other. Especially, in surveying and geo-spatial field, the demand for high quality 3D geospatial information and indoor spatial information is so highly increasing. However, it is so difficult to provide a low-cost and high efficiency service to the field which demand the highest quality of 3D model, because pre-constructed spatial data are composed of different formats and storage structures according to the application purpose of each institutes. In fact, the techniques to construct a high applicable 3D geo-spatial model is very expensive to collect and analyze geo-spatial data, but most demanders of 3D geo-spatial model never want to pay the high-cost to that. This study, therefore, suggest the effective way to construct 3D geo-spatial model with low-cost of construction. In general, the effective way to reduce the cost of constructing 3D geo-spatial model as presented in previous studies is to combine the raw data obtained from point cloud observatory and UAV imagery, however this method has some limitation of usage from difficulties to approve the use of raw data because of those have been managed separately by various institutes. To solve this problem, we developed the linking & management system for unifying a high-Resolution raw geo-spatial data based on the point cloud DB and apply this system to extract the basic database from 3D geo-spatial mode for the road database registration. As a result of this study, it can be provided six contents of main entries for road registration by applying the developed system based on the point cloud DB.

건설, 의료, 컴퓨터 그래픽스, 도시공간 관리 등 다양한 분야에서 3차원 공간정보 모델이 이용되고 있다. 특히 측량 및 공간정보 분야에서는 최근 고품질의 3차원 공간정보와 실내공간정보에 대한 수요가 폭발적으로 증가하고 있으나, 현재 공간정보 데이터가 다양한 형식과 저장구조로 구성되어 관리되고 있어 저비용 고효율의 3차원 공간정보 서비스가 어려운 상황이다. 실제로 활용도 높은 3차원 모델을 구축하기 위한 기술은 관측과 처리에 고액의 비용이 발생하지만, 대부분의 수요처에서는 이러한 고비용의 공간정보 구축에 어려움을 느끼는 경우가 대부분이다. 따라서 본 연구에서는 저비용의 3D 공간정보 모델을 구축하기 위한 효율적인 방안을 제시하는 것을 목적으로 하였다. 현재의 3D 모델의 구축 방법 중 가장 효율적인 방법으로는 기존에 구축되어 있는 Point Cloud, UAV 관측영상 등의 원시데이터를 활용하여 비용을 절감시키는 방법이 있지만, 이는 관리하는 기관이 분리되어 있고 사용하기 위해 요청하는 절차가 복잡하여 활용에 제한이 있었다. 본 연구에서는 이를 해결하기 위해서 도로대장 관리 분야를 대상으로 3D 구축에 필요한 기반데이터를 통합하여 연계하고 관리 할 수 있는 통합관리 시스템 개발을 수행하였으며, 다양한 형태의 원시자료를 Point Cloud 형식으로 구성하여 도로대장 관리에 적용할 경우 6개의 주요 관리항목을 효과적 구축 및 관리할 수 있을 것으로 판단되었다.

Keywords

References

  1. Choi, S.Y., S.M. Gang, Y.W. Jo, E.H. Oh, J.W. Park and G.H. Kim. 2016. Development Plan of Facility Importance, Risk, and Damage Estimation Inventory Construction for Assisting Disaster Response Decision-Making. The Korean Association of Geographic Information Studies 19(1):167-179. https://doi.org/10.11108/kagis.2016.19.1.167
  2. Kang, J.A. and J.R. Hwang. 2014. A Study on the User Satisfaction Surveys and Analysis for Improvement of the VWorld Service. Journal of Korea Spatial Information Society 22(6):23-32.
  3. Kim, H.D., J.H. Kang and H.J. Kim. 2017. A Study on the Improvement of 3D Building Data Format for Spatial Information Open Platform. Journal of Korean Society for Geospatial Information System 25(1):63-70. https://doi.org/10.7319/KOGSIS.2017.25.1.063
  4. Kim, N.Y., K.H. Kim and Y.G. Park. 2011. Development of GIS-based integrated DB management system for the analysis of climate environment change. The Journal of Korea Spatial Information Society 19(6):101-109.
  5. Lee, H.J., J.H. Ru and S.Y. Kim. 2010. Quality Analysis of Three-Dimensional Geo-spatial Information Using Digital Photogrammetry. Journal of Korean Society for Geospatial Information System 18(4):141-149.
  6. Lim, I.S., C.S. Hwang and S.K. Choi. 2003. Development of the Integrated Information Management System for Efficient Road Management. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 21(4):331-339.
  7. Park, S.H. and J.Y. Lee. Comparative analysis of 3D spatial data models. The Journal of Geographic Information System Association of Korea 17(3):277-285.
  8. Schnabel, R., R. Wahl and R. Klein. 2007. Efficient RANSAC for Point-Cloud Shape Detection. In Computer graphics forum 26(2):214-226.
  9. Shin, S.P. and D.G. Yun. 2014. A Study on the Construction of the National highway Register using Mobile Mapping System with Automatic Drawing Generation Technology, KSCE 2014 Convention 1719-1720.
  10. Yang, I.C. 2014. Introduction of Highway Management System for National Highway, Journal of the Korean Society of Civil Engineering, 62(6):30-34.