DocumentCode :
2526695
Title :
The integration of multi-beam and sub-bottom profile data based on GIS and 3D slicing technology
Author :
Wang, Degang ; Han, Fujiang ; Yang, Yiju
Author_Institution :
Second Inst. of Oceanogr., SOA, Hangzhou, China
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
166
Lastpage :
169
Abstract :
According to the geospatial referential relationship of the marine geophysical data gathered from the same survey area, the author achieves 3D integration of the same area´s multi-beam and sub-bottom profile data in GIS by using survey line vector data as topological entities. The implementation of integration mainly utilizes the following functions in GIS, the supporting function of multi-kinds spatial data such as raster and vector, the powerful secondary development function, and the topology construction function of spatial data. The main procedures include pre-processing bathymetric data to get submarine DTM and creating 3D seafloor stratum slices by processing the sub-bottom profile data. And then achieves the 3D visual display of associations between multi-beam and sub-bottom profile by spatial topological relation in GIS. On the basis, the author also gives future prospects on the integration method and model of the multi-source marine geophysical data.
Keywords :
geographic information systems; marine engineering; oceanographic techniques; solid modelling; visual databases; 3D integration; 3D seafloor stratum slice; 3D slicing technology; 3D visual display; GIS; bathymetric data; geospatial referential relationship; multibeam profile data; multikind spatial data; multisource marine geophysical data; spatial topological relation; subbottom profile data; submarine DTM; survey line vector data; topological entity; topology construction function; Data models; Data processing; Geographic Information Systems; Sea surface; Solid modeling; Three dimensional displays; Topology; 3D Slicing Technology; Data Integration; GIS Technology; Multi-beam Data; Sub-bottom Profile Data; Topological Entities;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
Conference_Location :
Fuzhou
Print_ISBN :
978-1-4244-8352-5
Type :
conf
DOI :
10.1109/ICSDM.2011.5969025
Filename :
5969025
Link To Document :
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