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Spectral registration of noisy sonar data for underwater 3D mapping

机译:用于水下3D映射的嘈杂声纳数据的光谱配准

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摘要

3D mapping is very challenging in the underwater domain, especially due to the lack of high resolution, low noise sensors. A new spectral registration method is presented that can determine the spatial 6 DOF transformation between pairs of very noisy 3D scans with only partial overlap. The approach is hence suited to cope with sonar as the predominant underwater sensor. The spectral registration method is based on Phase Only Matched Filtering (POMF) on non-trivially resampled spectra of the 3D data.
机译:3D映射在水下领域非常具有挑战性,特别是由于缺少高分辨率,低噪声的传感器。提出了一种新的光谱配准方法,该方法可以确定只有部分重叠的一对非常嘈杂的3D扫描之间的空间6 DOF转换。因此,该方法适合作为主要的水下传感器来应付声纳。频谱配准方法基于对3D数据的非平凡重采样频谱的仅相位匹配滤波(POMF)。

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