Web-based 3D processing and dissemination of multibeam sonar data - Publication - Bridge of Knowledge

Search

Web-based 3D processing and dissemination of multibeam sonar data

Abstract

The continuous detailed surveys of the various water bodies over time produce a large and ever-increasing volume and density of underwater sounding data. Three-dimensional data, such as those obtained by multibeam sonar systems, are quite complex to manage, and thus their growing numbers increase the pressure on development of new solutions dedicated to processing them. This paper presents a concept system for web-based dissemination of multibeam data in a geographic context. In order to maintain an easily accessible user interface, processing and distribution of such datasets in a web environment requires the data to be converted into a file format which is fit for processing via a web browser. Because of this, the presented system uses the emerging 3D Tiles open standard for serving multibeam point clouds alongside reconstructed three-dimensional models of shipwrecks to remote users in a web environment by means of Cesium, an open source Web-GIS library for 3D visualization of geospatial data.

Cite as

Full text

download paper
downloaded 72 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY-NC-SA open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
HYDROACOUSTICS no. 19, pages 259 - 264,
ISSN: 1642-1817
Language:
English
Publication year:
2016
Bibliographic description:
Kulawiak M.: Web-based 3D processing and dissemination of multibeam sonar data// HYDROACOUSTICS. -Vol. 19., (2016), s.259-264
Bibliography: test
  1. M. Kulawiak, Z. Łubniewski, 3D imaging of underwater objects using multibeam data, Hydroacoustics, Vol. 17, 123-128, 2014. open in new tab
  2. Kongsberg, EM Series Multibeam echo sounders datagram formats, https://www.km.kongsberg.com/ks/web/nokbg0397.nsf/AllWeb/253E4C58DB98DDA4
  3. C1256D790048373B/$file/160692_em_datagram_formats.pdf, 2015. open in new tab
  4. M. Moszyński, A. Chybicki, M. Kulawiak, Z. Łubniewski, A novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage, Polish Maritime Research, Vol. 20, 77-86, ISSN 1233-2585, DOI: 10.2478/pomr-2013-0009, 2013. open in new tab
  5. B. Buelens, R. Williams, A. Sale, T. Pauly, Computational Challenges in Processing and Analysis of Full-Watercolumn Multibeam Sonar Data, Eighth European Conference on Underwater Acoustics, Carvoeiro, Portugal, 2006. open in new tab
  6. T. Su, Z. Lv, S. Gao, X. Li, H. Lv, 3D seabed: 3D modeling and visualization platform for the seabed, Multimedia and Expo Workshops (ICMEW), DOI: 10.1109/ICMEW.2014.6890585, 2014. open in new tab
  7. B. Mao, J. Cao, HTML5 Based 3D Visualization of High Density LiDAR Data and Color Information for Agriculture Applications, Social Media Retrieval and Mining, Springer Berlin Heidelberg, 143-151, 2013. open in new tab
  8. M. Kulawiak, Three-dimensional representation of geographic data in a web-based GIS, Hydroacoustics, Vol. 16, 129-134, 2013. open in new tab
  9. C. Thome, Using a floating origin to improve fidelity and performance of large, distributed virtual worlds, 2005 International Conference on Cyberworlds, 263-270, 2005. open in new tab
  10. Cesium 3D Tiles specification, https://github.com/AnalyticalGraphicsInc/3d-tiles (accessed on 13.05.2016). open in new tab
  11. Cesium JS, https://cesiumjs.org (accessed on 13.05.2016). open in new tab
  12. Cesium 3D Tiles code branch, https://github.com/AnalyticalGraphicsInc/cesium/tree/3d- tiles (accessed on 13.05.2016). open in new tab
Verified by:
Gdańsk University of Technology

seen 91 times

Recommended for you

Meta Tags