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

• Autorzy: Kulawiak M.
• Języki publikacji: EN

Abstrakty

EN

The continuous detailed surveys of the various water bodies, over time, produce a large and ever-increasing volume and density of underwater sounding data. Threedimensional data, such as that obtained by multibeam sonar systems, are quite complex to manage; and thus, their growing numbers increase the pressure on the development of new solutions dedicated to processing them. This paper presents a concept system for a 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 the 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 WebGIS library for 3D visualization of geospatial data.

Słowa kluczowe

EN

GIS; web; multibeam sonars; 3D; point clouds; processing

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2016
• Tom: Vol. 19
• Strony: 259--264
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Kulawiak M.

• Gdańsk University of Technology Faculty of Electronics, Telecommunications and Informatics Department of Geoinformatics Gdańsk, Narutowicza 11/12, Poland

Bibliografia

• [1] M. Kulawiak, Z. Łubniewski, 3D imaging of underwater objects using multibeam data, Hydroacoustics, Vol. 17, 123-128, 2014.
• [2] Kongsberg, EM Series Multibeam echo sounders datagram formats, https://www.km.kongsberg.com/ks/web/nokbg0397.nsf/AllWeb/253E4C58DB98DDA4 C1256D790048373B/$file/160692_em_datagram_formats.pdf, 2015.
• [3] 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.
• [4] 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.
• [5] 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.
• [6] 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.
• [7] M. Kulawiak, Three-dimensional representation of geographic data in a web-based GIS, Hydroacoustics, Vol. 16, 129-134, 2013.
• [8] C. Thome, Using a floating origin to improve fidelity and performance of large, distributed virtual worlds, 2005 International Conference on Cyberworlds, 263-270, 2005.
• [9] Cesium 3D Tiles specification, https://github.com/AnalyticalGraphicsInc/3d-tiles (accessed on 13.05.2016).
• [10] Cesium JS, https://cesiumjs.org (accessed on 13.05.2016).
• [11] Cesium 3D Tiles code branch, https://github.com/AnalyticalGraphicsInc/cesium/tree/3dtiles (accessed on 13.05.2016).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)