|Author(s)||Lefort Riwal1, 2, Fablet Ronan2, Berger Laurent1, 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|
|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.|
Lefort Riwal, Fablet Ronan, Berger Laurent, Boucher Jm (2012). Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics. Ieee Geoscience And Remote Sensing Letters, 9(1), 56-59. Publisher's official version : https://doi.org/10.1109/LGRS.2011.2160328 , Open Access version : https://archimer.ifremer.fr/doc/00056/16769/