一种在现场使用无人驾驶飞行器的InSAR地面成像方法
Hsu-Yueh Chuang1, Jean-Fu Kiang1
1Graduate Institute of Communication Engineering, National Taiwan University, Taipei 10617, Taiwan.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
这项研究引入了使用无人机 (UAV) 进行实时地形监测的现场交叉测量合成孔径雷达 (InSAR) 成像方法. 这种技术提供了高空间分辨率和灵活性,在重建地形形状方面证明是有效的.
科学领域:
- 地质测量是指地质测量.
- 遥感 遥感 遥感 遥感
- 地理空间分析的研究.
背景情况:
- 地形监测对于灾害管理和基础设施发展至关重要.
- 传统方法往往缺乏动态环境所需的灵活性和实时能力.
- 高分辨率,快速地形变化检测对于有效的土地管理至关重要.
研究的目的:
- 提出并验证使用无人机用于高分辨率地形变化监测的现场InSAR成像方法.
- 展示拟议方法的实时测量和勘探能力.
- 评估方法的有效性和计算效率与现有技术相比.
主要方法:
- 使用无人驾驶飞行器 (UAV) 在现场采集交叉测量合成孔径雷达 (InSAR) 数据.
- 实施最小正方形相解封技术,以实现精确的相位校正.
- 应用平均波器来减少斑点,以增强地形形状的重建.
主要成果:
- 拟议的基于无人机的InSAR方法成功地重建了具有高空间分辨率的地形形状.
- 基于USGS 3DEP数据集的模拟验证了该方法在各种场景中的有效性.
- 与最先进的方法相比,该技术显示出具有竞争力的CPU时间效率.
结论:
- 基于无人机的现场InSAR成像方法为实时地形监测提供了灵活和高效的解决方案.
- 阶段解封和斑点过的组合对于准确的地形重建是有效的.
- 这种方法为需要快速详细地表变化检测的应用提供了显著的优势.
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