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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Assessment of Waveform Features for Lidar Uncertainty Modeling in a Coastal Salt Marsh Environment
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Assessment of Waveform Features for Lidar Uncertainty Modeling in a Coastal Salt Marsh Environment

机译：沿海盐沼环境中激光雷达不确定度建模的波形特征评估

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摘要

There is currently great interest in lidar surveys of salt marshes to support coastal management and decision making. However, vertical uncertainty of lidar elevations is generally higher in salt marshes than in upland areas, and it can be difficult to empirically quantify due to the challenges of obtaining ground control in marshes. Assuming that most of the component uncertainties in the lidar geolocation equation will remain essentially constant over a relatively small location, it is posited that vertical uncertainty in a marsh will vary mostly as a function of surface and cover characteristics. These, in turn, should affect lidar waveforms recorded during the survey, and therefore, analysis of the waveform shapes may allow for prediction of vertical uncertainty variation. Waveforms at three test sites were used to compute 16 computationally efficient features that describe the shapes; and simple, multilinear, and principal component regressions were used to evaluate their ability to predict elevation differences between lidar and Global Positioning System ground control. The results show that a simple estimate of waveform width can explain over 50% of the total variability in elevation differences but that multilinear regression does not significantly improve the performance. Somewhat surprisingly, skewness of the waveform does not appear to be a good predictor of elevation differences in these cases.
机译：当前，人们对盐沼的激光雷达调查非常感兴趣，以支持沿海地区的管理和决策。但是，盐沼中的激光雷达标高的垂直不确定性通常高于陆地地区，由于在沼泽中获得地面控制的挑战，可能难以凭经验进行量化。假设激光雷达地理定位方程中的大多数组件不确定性在相对较小的位置上基本保持恒定，则认为沼泽中的垂直不确定性将主要根据表面和覆盖特征而变化。这些反过来又会影响在调查期间记录的激光雷达波形，因此，对波形形状的分析可能会允许预测垂直不确定性变化。三个测试点的波形被用来计算描述形状的16个计算有效特征。以及简单，多线性和主成分回归用于评估其预测激光雷达和全球定位系统地面控制之间的高程差异的能力。结果表明，简单估计波形宽度可以解释高程差异总变化量的50％以上，但是多线性回归并不能显着改善性能。令人惊讶的是，在这些情况下，波形的偏斜似乎不能很好地预测高程差。

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