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Potential of a Non-linear Full-Waveform Stacking Technique in Airborne LiDAR Bathymetry
PFG-Journal of Photogrammetry, Remote Sensing and Geoinformation Science ( IF 4.1 ) Pub Date : 2021-06-02 , DOI: 10.1007/s41064-021-00147-y
David Mader , Katja Richter , Patrick Westfeld , Hans-Gerd Maas

Airborne LiDAR bathymetry is an efficient measurement method for area-wide acquisition of water bottom topography in shallow water areas. However, the method has a limited penetration depth into water bodies due to water turbidity. This affects the accuracy and reliability of the determination of water bottom points in waters with high turbidity or larger water depths. Furthermore, the coverage of the water bottom topography is also limited. In this contribution, advanced processing methods are presented with the goal of increasing the evaluable water depth, resulting in an improved coverage of the water bottom by measurement points. The methodology moves away from isolated evaluation of individual signals to a determination of water bottom echoes, taking into account information from closely adjacent measurements, assuming that these have similar or correlated characteristics. The basic idea of the new processing approach is the combination of closely adjacent full-waveform data using full-waveform stacking techniques. In contrast to established waveform stacking techniques, we do not apply averaging, which entails low-pass filtering effects, but a modified majority voting technique. This has the effect of amplification of repeating weak characteristics and an improvement of the signal-noise-ratio. As a consequence, it is possible to detect water bottom points that cannot be detected by standard methods. The results confirm an increased penetration water depth by about 27% with a high reliability of the additionally extracted water bottom points along with a larger coverage of the water bottom topography.



中文翻译:

机载 LiDAR 水深测量中非线性全波形叠加技术的潜力

机载 LiDAR 测深是一种有效的测量方法,用于浅水区水底地形的区域范围获取。然而,由于水浑浊,该方法对水体的渗透深度有限。这会影响在高浊度或较大水深的水域中确定水底点的准确性和可靠性。此外,水底地形的覆盖范围也有限。在这篇文章中,提出了先进的处理方法,目的是增加可评估的水深,从而改善测量点对水底的覆盖。该方法从单个信号的孤立评估转向确定水底回波,同时考虑到来自紧密相邻测量的信息,假设它们具有相似或相关的特征。新处理方法的基本思想是使用全波形叠加技术组合紧密相邻的全波形数据。与已建立的波形叠加技术相比,我们不应用需要低通滤波效应的平均,而是应用修改后的多数表决技术。这具有放大重复弱特性和提高信噪比的效果。因此,可以检测标准方法无法检测到的水底点。结果证实,渗透水深度增加了约 27%,另外提取的水底点具有高可靠性,并且水底地形的覆盖范围更大。新处理方法的基本思想是使用全波形叠加技术组合紧密相邻的全波形数据。与已建立的波形叠加技术相比,我们不应用需要低通滤波效应的平均,而是应用修改后的多数表决技术。这具有放大重复弱特性和提高信噪比的效果。因此,可以检测标准方法无法检测到的水底点。结果证实,渗透水深度增加了约 27%,另外提取的水底点具有高可靠性,并且水底地形的覆盖范围更大。新处理方法的基本思想是使用全波形叠加技术组合紧密相邻的全波形数据。与已建立的波形叠加技术相比,我们不应用需要低通滤波效应的平均,而是应用修改后的多数表决技术。这具有放大重复弱特性和提高信噪比的效果。因此,可以检测标准方法无法检测到的水底点。结果证实,渗透水深度增加了约 27%,另外提取的水底点具有高可靠性,并且水底地形的覆盖范围更大。

更新日期:2021-06-02
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