Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics

Type Article
Date 2012-01
Language English
Author(s) Lefort Riwal1, 2, Fablet Ronan2, Berger LaurentORCID1, 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.
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