Intensity correction of Side-Scan Sonar images

A. Burguera, G. Oliver
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引用次数: 16

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.
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侧扫声纳图像强度校正
本文提出了一种消除侧扫声纳(SSS)声图像中不均匀共振影响的新方法,促进了SSS声图像在水下机器人中的应用。声纳散射过程采用朗伯模型,将接收到的回波与共振强度、海床反射率和入射角联系起来。对于共振强度,提出了一种适用于SSS传感器的灵敏度模式模型。通过这些模型,SSS图像得到了显著改善。
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