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3D reconstruction of seafloor from sonar images based on the multi-sensor method

机译:基于多传感器方法的Sonar图像的3D重建海底

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This paper proposes a method to estimate the three dimensional aspects of the seafloor using a sequence of sonar images combing GPS positioning. The sonar images are segmented into three kinds of regions using MRF method: echo, shadow and background. The echo information corresponds to the signal back-scattered by the object located on the seafloor while the shadow is due to the absence of back-scattering from behind the object. The remaining information is the background. The reconstruction scheme processes the echo and shadow information separately. A two-dimensional elevation map is estimated from the shadow information and a two-dimensional reflection map is computed from the echoes. And the final reconstruction result merges both of the two maps. The reconstruction result is presented by the experiments using the Matlab simulation in the end of this paper, which prove this method can be implemented in real time as it reconstruct the 3D information successfully and requires only limited computational resources.
机译:本文提出了一种使用梳理GPS定位的声纳图像序列来估计海底的三维方面的方法。 SONAL图像使用MRF方法分为三种区域:回声,阴影和背景。回声信息对应于位于海底上的物体背部散射的信号,而阴影是由于从物体后面没有背散射。其余信息是背景。重建方案分别处理回声和阴影信息。从阴影信息估计二维高度映射,并且从回波计算二维反射图。并且最终的重建结果合并两个地图。通过使用MATLAB仿真在本文末尾的实验中介绍了重建结果,这证明了该方法可以实时实现,因为它成功地重建了3D信息并且仅需要有限的计算资源。

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