Title :
Sonar object visualization in an octree
Author :
Loke, R.E. ; du Buf, J.M.H.
Author_Institution :
Dept. of Electron. & Comput. Sci., Algarve Univ., Faro, Portugal
Abstract :
The authors describe a new method for the detection and visualization of objects in 3D sonar data. The method has been applied to data obtained at a site which contains a well-defined target, being a buried tractor tire, sized 130 cm in diameter and 30 cm high. The surfaces of the corresponding sonar object have been accurately extracted using fast smoothing, filtering, segmentation and surface construction techniques. Analysis shows that the position of the target and the sonar object correctly coincide
Keywords :
buried object detection; geophysical signal processing; oceanographic techniques; octrees; seafloor phenomena; sediments; sonar detection; sonar imaging; sonar target recognition; water pollution measurement; buried object detection; detection; fast smoothing; filtering; marine pollution; marine sediment; measurement technique; ocean; seafloor geology; segmentation; sonar imaging; sonar object; sonar object visualization; surface construction; tractor tire; water pollution; wheel; Data mining; Data visualization; Filtering; Filters; Object detection; Pipelines; Sea surface; Smoothing methods; Sonar detection; Tires;
Conference_Titel :
OCEANS 2000 MTS/IEEE Conference and Exhibition
Conference_Location :
Providence, RI
Print_ISBN :
0-7803-6551-8
DOI :
10.1109/OCEANS.2000.882243
