DOI QR코드

DOI QR Code

A Display System of Realtime 3D Bathymetry Using Remote Sensing Exploration and Cloud Computing Technologies

원격탐사와 클라우드 컴퓨팅 기술을 활용한 실시간 3D 해저지형의 디스플레이 시스템

  • 이종훈 (부경대학교 산업대학원 전산정보학과) ;
  • 박만곤 (부경대학교 공과대학 IT융합응용공학과)
  • Received : 2013.10.17
  • Accepted : 2013.12.31
  • Published : 2014.02.28

Abstract

Recently. utilization of remote sensing exploration and cloud computing has been extended to efficient measurement, store, and update of bathymetry map data according to cloud computing technology. In the field of real ocean, water depth measurements and measurement data management, distribution, and display equipment for the development and dissemination have generated a lot of time and cost. To improve these problems, through real-time three-dimensional display system at this location, we can determine the importance of measurement activities, and reduce the time and cost of measurement activities. Data measured from marine probe vessels and remote sensing exploration equipments and other various channels can be handled and managed. In this paper, we propose a realtime three-dimensional display system through the depth measurements from remote sensing exploration. The proposed real-time three-dimensional display system can be effectively applied in the field of measurement of the topographical survey of the land as well as bathymetry of the sea.

최근 클라우드 컴퓨팅 기술의 발전에 따라 해저지도 데이터의 효율적인 측정, 기록 및 업데이트하는 분야에서의 원격탐사 기술과 클라우드 컴퓨팅 기술의 활용이 확대되고 있다. 실제 해양 분야에서 수심측정 및 측정 데이터 관리, 유통, 디스플레이 장비 개발 및 보급에 많은 시간과 비용이 발생하고 있다. 이러한 시스템을 개선하고자 실시간 3차원 디스플레이 시스템을 통하여 해당 위치에서의 측정 활동의 중요도를 판단할 수 있으며, 측정 활동의 시간과 비용 감소로 이어질 수 있다. 해양조사선 및 원격탐사 장비 등 다양한 경로를 통해 측정된 데이터는 클라우드 컴퓨팅 기술을 활용하여 처리, 관리된다. 본 논문에서는 원격탐사를 통한 수심측정과 동시에 실시간 3차원으로 디스플레이하는 시스템을 제안한다. 제안된 실시간 3차원 디스플레이 시스템은 해저지형뿐만 아니라 육지의 지형 측량 분야에서도 효과적으로 적용될 수 있다.

Keywords

References

  1. Ocean Surveyor, http://www.doopedia.co.kr/doopedia/master/master .do?_method=view&MAS_IDX= 101013000919032, 2013.
  2. Dong Il Kim, Kye Hyun Kim, Sung Joo Lee, and Yong Hyun Park, "Development of 3-D GIS based Expression System for Utilization of Submarine Mineral Resource Exploration Data," Journal of Korea Spatial Information Society, Vol. 21, No. 3, pp. 21-30, 2013. https://doi.org/10.12672/ksis.2013.21.3.021
  3. Introducing ARGO Float, http://kodc.nfrdi.re.kr/page?id=argo_01, 2013.
  4. Mun-Ki Bae, Hyeong-Il Shin, Dae-Jae Lee, Il-Kwon Kang, Yoo-Won Lee, and Kwang-Sik Kim, "Three Dimensional Visualization of Seafloor Topography for the Application of Integrated Navigation System," Journal of Korea Society of Fisheries Technology, Vol. 42, No. 2, pp. 104-110, 2006. https://doi.org/10.3796/KSFT.2006.42.2.104
  5. National Oceanographic Data Committee of the Netherlands, http://www.nodc.nl, 2013.
  6. Japan Oceanographic Data Center, Retrieved from http://jodc.go.jp, 2013.
  7. Norbert Pfeifer, "A Subdivision Algorithm for Smooth 3D Terrain Models," Journal of Photogrammetry & Remote Sensing, Vol. 59, No. 3, pp. 115-127, 2005. https://doi.org/10.1016/j.isprsjprs.2004.09.002
  8. A. Bernik and Z. Sabati, "Generating Terrain and HI Details using Texture Maps," Tiskarstvo and Dizajn, pp.75-81, 2013.
  9. Bastian Baranski, Bastian Schaeffer and Richard Redwick, "Geoprocessing in the Clouds," OSGeo Journal, Vol. 8, pp. 17-22, 2011.
  10. Byung Kwan Lee, Eun Hee Jeong, and Seung Hae Yang, "A DDMPF (Distributed Data Management Protocol using FAT) Design of Self-organized Storage for Negotiation among a Client and Servers based on Clouding," Journal of Korea Multimedia Society, Vol. 15, No. 8, pp. 1048-1058, 2012. https://doi.org/10.9717/kmms.2012.15.8.1048
  11. Seung-Tae Hong, Young-Sung Shin, and Jae-Woo Chang, "Optimization and Performance Analysis of Cloud Computing Platform for Distributed Processing of Big Data," Journal of Korea Spatial Information Society, Vol. 19, No. 4, pp. 55-71, 2011.
  12. Muzafar A. Bhat, Razeef M. Shah, and Bashir Ahmad, "Cloud Computing: A Solution to Geographical Information Systems (GIS)," International Journal on Computer Science and Engineering, Vol. 3, No. 2, pp. 594-600, 2011.
  13. Sean Marston, Zhi Li, S. Bandyopadhyay, J. Zhang, and A. Ghalsasi, "Cloud Computing-The Business Perspective," Decision Support Systems, Vol. 51, No. 1, pp. 176-189, 2011. https://doi.org/10.1016/j.dss.2010.12.006