Title :
The analysis of underwater acoustic data via 3-D segmentation
Author :
Reed, Todd R. ; Loke, R.E. ; du Buf, J.M.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
Abstract :
The analysis of seabed structure is important in a wide variety of scientific and industrial applications. In this paper, underwater acoustic data produced by bottom-penetrating sonar (Topas) are analyzed using unsupervised volumetric segmentation, based on a three dimensional Gibbs-Markov model. The result is a concise and accurate description of the seabed, in which key structures are emphasized. This description is also very well suited to further operations, such as the enhancement and automatic recognition of important structures. Experimental results demonstrating the effectiveness of this approach are shown, using Topas data gathered in the North Sea off Horten, Norway.
Keywords :
Markov processes; bathymetry; geophysical signal processing; image enhancement; image recognition; image segmentation; oceanographic techniques; sonar imaging; 3-D segmentation; Horten region; North Sea; Norway; Topas; automatic recognition; bottom-penetrating sonar; enhancement; seabed structure; three dimensional Gibbs-Markov mode; underwater acoustic data; unsupervised volumetric segmentation; Application software; Computer industry; Data analysis; Iterative algorithms; Monitoring; Nearest neighbor searches; Sea measurements; Sonar; Statistics; Underwater acoustics;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.832294
