| Type |
Article |
| Date |
2012-01 |
| Language |
English |
| Author(s) |
Lefort Riwal1, 2, Fablet Ronan2, Berger Laurent 1, Boucher Jm2 |
| Affiliation(s) |
1 : IFREMER, F-29280 Plouzane, France.
2 : Telecom Bretagne, F-29280 Plouzane, France. |
| Source |
Ieee Geoscience And Remote Sensing Letters (1545-598X) (Ieee-inst Electrical Electronics Engineers Inc), 2012-01 , Vol. 9 , N. 1 , P. 56-59 |
| DOI |
10.1109/LGRS.2011.2160328 |
| WOS© Times Cited |
2 |
| Keyword(s) |
Fisheries acoustics, multibeam sensor, object patterns in images, point processes, spatial statistics |
| Abstract |
In this letter, we address the characterization of objects in 3-D sonar images of the water column obtained by a multibeam echo sounder. Compared with classic 2-D images from a monobeam echo sounder, these 3-D images provide finer scale observation of the pelagic biomasses and new tools to characterize 3-D distributions. By viewing object patterns as realizations of spatial point processes, we investigate descriptive spatial statistics. This method is then applied to 3-D fisheries acoustics data set for characterization of the distribution of pelagic fish schools. Reported experiments illustrate the relevance of the proposed descriptors. The comparison of our method with 2-D sonar data analysis further demonstrates the information gain from using 3-D sonar imagery. |
| Full Text |
| File |
Pages |
Size |
Access |
|
5 |
594 KB |
Access on demand |
| Author's final draft |
6 |
331 KB |
Open access |
|
