FN Archimer Export Format
PT J
TI Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics
BT 
AF LEFORT, Riwal
   FABLET, Ronan
   BERGER, Laurent
   BOUCHER, JM
AS 1:1,2;2:2;3:1;4:2;
FF 1:PDG-RBE-STH-LTH;2:;3:PDG-IMN-NSE-AS;4:;
C1 IFREMER, F-29280 Plouzane, France.
   Telecom Bretagne, F-29280 Plouzane, France.
C2 IFREMER, FRANCE
   TELECOM BRETAGNE, FRANCE
   UBO, FRANCE
SI BREST
SE PDG-RBE-STH-LTH
   PDG-IMN-NSE-AS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 1.82
TC 2
UR https://archimer.ifremer.fr/doc/00056/16769/14270.pdf
LA English
DT Article
CR CLASS 2008
BO Thalassa
DE ;Fisheries acoustics;multibeam sensor;object patterns in images;point processes;spatial statistics
AB 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.
PY 2012
PD JAN
SO Ieee Geoscience And Remote Sensing Letters
SN 1545-598X
PU Ieee-inst Electrical Electronics Engineers Inc
VL 9
IS 1
UT 000298380800012
BP 56
EP 59
DI 10.1109/LGRS.2011.2160328
ID 16769
ER

EF