FN Archimer Export Format
PT J
TI A statistical approach for analyzing and modeling multibeam echosounder backscatter, including the influence of high-amplitude scatterers
BT 
AF Fonseca, Luciano
   Lurton, Xavier
   Fezzani, Ridha
   Augustin, Jean-Marie
   Berger, Laurent
AS 1:1;2:2;3:2;4:2;5:2;
FF 1:;2:PDG-DFO-NSE-ASTI;3:PDG-DFO-NSE-ASTI;4:PDG-DFO-NSE-ASTI;5:PDG-DFO-NSE-ASTI;
C1 Department of Electronic Engineering, Universidade de Brasilia (UnB), Brasilia, Brazil
   Underwater Acoustic Laboratory, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Plouzané, France
C2 UNIV BRASILIA UNB, BRAZIL
   IFREMER, FRANCE
SI BREST
SE PDG-DFO-NSE-ASTI
IN WOS Ifremer UPR
   copubli-int-hors-europe
   copubli-sud
IF 2.482
TC 4
UR https://archimer.ifremer.fr/doc/00667/77950/80130.pdf
LA English
DT Article
CR ESS_REM2040
   REM2040-01
   REM2040-01
   REM2040-02
   REM2040-2016 01
   REM2040-2017
   REM2040-2018
BO Thalia
AB The statistical analysis of acoustic backscatter samples recorded by multibeam echosounders can be a valuable tool for remote seafloor characterization and interpretation. The present paper aims at analyzing the statistics of backscatter data values, both in “raw” status and after various averaging operations, using field data. It is shown that the statistics of the data can be adequately described by a Weibull distribution parametrized by the incidence angle and the level of applied processing: the distribution of the averaged backscatter amplitude, processed according to various schemes, varies from a Rayleigh law for raw data to lognormal and finally to Gaussian distribution after successive averaging operations. Based on these results, some recommendations for the calculation of the mean backscatter strength are presented. Finally, the influence of high-amplitude scatterers in the backscatter probability density function is addressed; a scheme is suggested to separate the contributions of the substrate from the contributions of the scatterers on the statistical distribution of sonar data samples 
PY 2021
PD JAN
SO Journal Of The Acoustical Society Of America
SN 0001-4966
PU Acoustical Society of America (ASA)
VL 149
IS 1
UT 000610195600006
BP 215
EP 228
DI 10.1121/10.0003045
ID 77950
ER

EF