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

Volume

3

fYear

2000

fDate

2000

Firstpage

2067

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;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2000 MTS/IEEE Conference and Exhibition

Conference_Location

Providence, RI

Print_ISBN

0-7803-6551-8

Type

conf

DOI

10.1109/OCEANS.2000.882243

Filename

882243