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.

机载激龙气测定是一种激光扫描技术，可在有限的浊度有限的浅水体中测量水体底部地形。由于新的传感器技术的出现，该主题最近获得了相关性，该技术允许在测深数据捕获中进行更高的空间分辨率，并且由于需要定期监测水体的新指南。 LiDAR测深的水下激光脉冲路径的特征是依赖水浊度的衰减，在数字化激光脉冲回波中恶化了信噪比，因此阻碍了水体底点的检测。该建议旨在开发方法，该方法基于相邻数字化激光脉冲回声的层析成像表示。在这些体素空间表示中，通过应用健壮的参数估计和3D滤波技术提取一致的水体底部元素（而不是离散点）。结果，预计水体底形图测量的精度和可靠性显着提高，从而增加了LiDAR测深的潜在深度范围。此外，应分析水柱中激光脉冲回声强度的衰减，其目的是通过比较基于模型和测量的衰减参数来得出描述水浊度的参数。除了来自传统的最先进的机载雷达测深系统的数据外，该研究还将解决开发方法在处理最近的单个光子空气载激发系统数据方面的适用性。