Multiresolution 3-D reconstruction from side-scan sonar images
Multiresolution 3-D reconstruction from side-scan sonar images
复制标题
DOI：
10.1109/tip.2006.888337
复制
发表时间：
2007-02-01
影响因子：
10.6
通讯作者：
Lane, David M.
中科院分区：
文献类型：
--
作者：
Coiras, Enrique;Petillot, Yvan;Lane, David M.
本文提出了一种从侧扫声纳图像中估计海床高程图的新方法。侧扫成像过程用朗伯扩散模型表示，然后由期望最大化启发的多分辨率优化过程进行反演，以考虑所成像海底区域的特征。在模型收敛的基础上，得到了海床反射率、侧扫波束方向图和海床高度的近似解。系统的性能是根据已知维度的真实结构进行评估的。给出了不同声纳传感器采集的图像的重建结果。文中还讨论了增强现实技术在声纳图像目标模拟中的应用。
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.