TY - GEN
T1 - Sea-floor characterization related to object-detection performance of sonar systems
T2 - OCEANS 2017 - Aberdeen
AU - Tellez, Olga Lopera
AU - Papili, Sonia
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/25
Y1 - 2017/10/25
N2 - In this study, we use lacunarity maps in order to predict the influence of seafloor characteristics in the object-detection performance of high resolution imagery sonar systems. Three different synthetic aperture sonar (SAS) systems have been used to collect acoustic data. They will be referred as SAS1, SAS2 and SAS3 to avoid drawing a comparison. A test area on the Belgian Continental Shelf, between the Thorton bank and the Goote Bank, is selected based on the long term stability of its physical characteristics. Different objects (exercise-mines and friendly-objects) have been deployed in this area and acoustic data are collected during object-detection trails. Results demonstrate a relation between the difficulty of detecting a target and the environmental parameters, in accordance with other analysis presented in the literature.
AB - In this study, we use lacunarity maps in order to predict the influence of seafloor characteristics in the object-detection performance of high resolution imagery sonar systems. Three different synthetic aperture sonar (SAS) systems have been used to collect acoustic data. They will be referred as SAS1, SAS2 and SAS3 to avoid drawing a comparison. A test area on the Belgian Continental Shelf, between the Thorton bank and the Goote Bank, is selected based on the long term stability of its physical characteristics. Different objects (exercise-mines and friendly-objects) have been deployed in this area and acoustic data are collected during object-detection trails. Results demonstrate a relation between the difficulty of detecting a target and the environmental parameters, in accordance with other analysis presented in the literature.
KW - environmental parameters
KW - high resolution imaging sonar
UR - https://www.scopus.com/pages/publications/85044749343
U2 - 10.1109/OCEANSE.2017.8084804
DO - 10.1109/OCEANSE.2017.8084804
M3 - Conference contribution
AN - SCOPUS:85044749343
T3 - OCEANS 2017 - Aberdeen
SP - 1
EP - 4
BT - OCEANS 2017 - Aberdeen
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 June 2017 through 22 June 2017
ER -