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Multiresolution 3-D Reconstruction From Side-Scan Sonar Images

机译:侧面扫描声纳图像的多分辨率3D重建

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In this paper, a new method for the estimation of seabed elevation maps from side-scan sonar images is presented. The side-scan image formation process is represented by a Lambertian diffuse model, which is then inverted by a multiresolution optimization procedure inspired by expectation-maximization to account for the characteristics of the imaged seafloor region. On convergence of the model, approximations for seabed reflectivity, side-scan beam pattern, and seabed altitude are obtained. The performance of the system is evaluated against a real structure of known dimensions. Reconstruction results for images acquired by different sonar sensors are presented. Applications to augmented reality for the simulation of targets in sonar imagery are also discussed
机译:本文提出了一种从侧扫声纳图像估算海床仰角图的新方法。侧面扫描图像形成过程由朗伯扩散模型表示,然后通过受期望最大化启发的多分辨率优化程序将其反转,以说明成像海底区域的特征。在模型收敛后,获得海底反射率,侧扫描波束方向图和海底高度的近似值。系统性能是根据已知尺寸的实际结构评估的。呈现了由不同声纳传感器获取的图像的重建结果。还讨论了增强现实在声纳图像目标仿真中的应用

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