Tomographic approaches for airborne lidar bathymetry data processing

机载激光雷达测深数据处理的层析成像方法

• 批准号: 390023295
• 负责人: Professor Dr. Hans-Gerd Maas
• 金额: --
• 依托单位: Institut für Photogrammetrie und Fernerkundung
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/390023295?language=en
• 关键词: Tomographic; approaches; airborne; lidar; bathymetry

Airborne Lidar Bathymetry is a laser scanning technique to measure waterbody bottom topography in shallow waterbodies with limited turbidity. The topic has recently gained relevance due to the advent of new sensor technologies allowing for much higher spatial resolution in bathymetry data capture and due to new guidelines demanding regular monitoring of waterbodies. The underwater laser pulse path in lidar bathymetry is characterized by a water turbidity dependent attenuation, deteriorating the signal-to-noise-ratio in the digitized laser pulse echo and thus hampering the detection of waterbody bottom points. The proposal aims at the development of methods, which are based on a tomographic representation of neighbouring digitized laser pulse echoes. In these voxel space representations, consistent waterbody bottom elements (rather than discrete points) are extracted by applying robust parameter estimation and 3D filtering techniques. As a result, a significant gain in precision and reliability of waterbody bottom topography measurement is expected, thus also increasing the potential depth range of lidar bathymetry. In addition, the decay of the laser pulse echo intensity in the water column shall be analysed with the goal of deriving parameters describing water turbidity by comparing model-based and measured decay parameters. Besides data from conventional state-of-the-art airborne lidar bathymetry systems, the research will also address the applicability of the developed methods to processing recent single photon airborne lidar system data.

机载激光雷达测深是一种用于测量浊度有限的浅水水体底部地形的激光扫描技术。由于新的传感器技术的出现，可以在测深数据捕获中获得更高的空间分辨率，并且由于要求定期监测水体的新准则，该主题最近获得了相关性。激光雷达测深中水下激光脉冲路径的特征是水体浑浊度相关的衰减，使数字化激光脉冲回波的信噪比恶化，从而阻碍了水体底点的探测。该建议旨在开发基于相邻数字化激光脉冲回波的层析表示的方法。在这些体素空间表示中，通过应用鲁棒参数估计和三维滤波技术提取一致的水体底部元素（而不是离散点）。因此，预计水体底部地形测量的精度和可靠性将显著提高，从而也增加了激光雷达测深的潜在深度范围。此外，还需要对水柱中激光脉冲回波强度的衰减进行分析，目的是通过比较基于模型的衰减参数和实测的衰减参数，得出描述水浊度的参数。除了来自传统机载激光雷达测深系统的数据外，该研究还将解决所开发方法在处理最新单光子机载激光雷达系统数据方面的适用性。