FN Archimer Export Format
PT J
TI Analysis of calibrated seafloor backscatter for habitat classification methodology and case study of 158 spots in the Bay of Biscay and Celtic Sea
BT 
AF FEZZANI, Ridha
   BERGER, Laurent
AS 1:1;2:1;
FF 1:PDG-IMN-NSE-ASTI;2:PDG-DFO-NSE-ASTI;
C1 IFREMER, Underwater Acoust Lab IMN NSE ASTI, Plouzane, France.
C2 IFREMER, FRANCE
SI BREST
SE PDG-IMN-NSE-ASTI
   PDG-DFO-NSE-ASTI
IN WOS Ifremer jusqu'en 2018
IF 1.471
TC 13
UR https://archimer.ifremer.fr/doc/00423/53465/56648.pdf
LA English
DT Article
CR EVHOE EVALUATION HALIEUTIQUE DE L'OUEST DE L'EUROP
DE ;Multibeam;Reflectivity;Backscatter angular response;Segmentation
AB An automated signal-based method was developed in order to analyse the seafloor backscatter data logged by calibrated multibeam echosounder. The processing consists first in the clustering of each survey sub-area into a small number of homogeneous sediment types, based on the backscatter average level at one or several incidence angles. Second, it uses their local average angular response to extract discriminant descriptors, obtained by fitting the field data to the Generic Seafloor Acoustic Backscatter parametric model. Third, the descriptors are used for seafloor type classification. The method was tested on the multi-year data recorded by a calibrated 90-kHz Simrad ME70 multibeam sonar operated in the Bay of Biscay, France and Celtic Sea, Ireland. It was applied for seafloor-type classification into 12 classes, to a dataset of 158 spots surveyed for demersal and benthic fauna study and monitoring. Qualitative analyses and classified clusters using extracted parameters show a good discriminatory potential, indicating the robustness of this approach. 
PY 2018
PD JUL
SO Marine Geophysical Research
SN 0025-3235
PU Springer
VL 39
IS 1-2
UT 000430016500012
BP 169
EP 181
DI 10.1007/s11001-018-9342-y
ID 53465
ER

EF