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Intensity correction of Side-Scan Sonar images

机译:侧扫声纳图像的强度校正

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摘要

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.
机译:本文介绍了一种新方法,可以消除侧扫声纳(SSS)声学图像中不均匀的Ensonoged效果,促进其在水下机器人中的使用。朗伯模型用于声纳散射过程,将所接收的回波与Ensonification强度,海床反射率和入射角相关联。对于Ensonification强度,灵敏度模式模型适用于SSS传感器。通过这些模型,SSS图像显着提高。

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