Spatially Resolved River Monitoring by UAV-Borne 4D-Imaging Radar: Experiments and Preliminary Validation

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-03-10 DOI:10.1109/JSTARS.2025.3549772

Giordano Cicioni;Federico Alimenti;Timo Grebner;Julian Kanz;Ron Riekenbrauck;Christian Waldschmidt

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引用次数: 0

Abstract

There is growing research interest in monitoring river discharge using noncontact sensors that do not require direct interaction with the water and can be mounter on unmanned aerial vehiclesto reach inaccessible areas. To this end, novel hydrodynamic models are being developed that allow the estimation of river discharge from river surface velocity measurements combined with bathymetry and water level. This research presents a novel data processing method for analyzing the surface velocity distribution of water flows using a 77-GHz 4-D imaging frequency modulated continuous wave (FMCW) radar sensor. Targets detected in the radar field-of-view are interpreted as surface velocity contributions, with the value of the surface velocity inferred from the radial component measured by the radar. We will first validate the sensor and algorithm in a controlled laboratory environment, and then deploy the system in various river environments, using both tripod-based and unmanned aerial vehicle (UAV)-based configurations. The final output, a georeferenced composite image derived from multiple UAV acquired radar images, provides detailed insights into complex, nonlaminar water flow patterns.

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基于无人机机载4d成像雷达的空间分辨河流监测：实验与初步验证

人们对使用非接触式传感器监测河流排放越来越感兴趣，这种传感器不需要与水直接接触，并且可以安装在无人驾驶飞行器上到达难以到达的区域。为此目的，人们正在开发新的水动力模型，使其能够根据河面流速测量结合水深和水位来估计河流流量。本文提出了一种利用77 ghz 4-D成像调频连续波（FMCW）雷达传感器分析水流表面速度分布的新数据处理方法。雷达视场中探测到的目标被解释为地表速度的贡献，地表速度的值由雷达测量的径向分量推断出来。我们将首先在受控的实验室环境中验证传感器和算法，然后使用基于三脚架和基于无人机（UAV）的配置将系统部署在各种河流环境中。最终的输出是一幅由多个无人机获取的雷达图像衍生的地理参考合成图像，提供了对复杂的非层流水流模式的详细见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.