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

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4 Author(s)
Lefort, R. ; Inst. Francais de Rech. pour l''exploitation de la MER, Plouzane, France ; Fablet, R. ; Berger, L. ; Boucher, J.-M.

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.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:9 ,  Issue: 1 )

Date of Publication:

Jan. 2012

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