Title :
Intensity correction of Side-Scan Sonar images
Author :
Burguera, Antoni ; Oliver, Gabriel
Author_Institution :
Dept. Mat. i Inf., Univ. de les Illes Balears, Palma de Mallorca, Spain
Abstract :
This paper presents a new method to remove the effects of uneven ensonification in Side-Scan Sonar (SSS) acoustic images, facilitating their use in underwater robotics. A Lambertian model is used for the sonar scattering process, relating the received echo with the ensonification intensity, the sea bed reflectivity and the incidence angle. As for the ensonification intensity, a sensitivity pattern model is adapted to SSS sensors. By means of these models, SSS imagery is significantly improved.
Keywords :
autonomous underwater vehicles; reflectivity; sensitivity analysis; sonar imaging; Lambertian model; SSS acoustic image sensor; ensonification intensity; incidence angle; sea bed reflectivity; sensitivity pattern model; side-scan sonar image intensity correction; sonar scattering process; underwater robot; uneven ensonification effect removal; Acoustics; Equations; Head; Robot sensing systems; Sonar; Sonar navigation;
Conference_Titel :
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location :
Barcelona
DOI :
10.1109/ETFA.2014.7005092
