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一种三维变形监测方法:结合基于回归模型的光学变形监测和GB-SAR干涉计

Yanbo Cheng¹, Yuanhui Mo¹, Haifeng Huang¹

¹School of Electronics and Communication Engineering, Shenzhen Campus, Sun Yat-sen University, Shenzhen 518107, China.

Sensors (Basel, Switzerland)

|March 28, 2024

概括

本研究提出了一种新的方法,用于精确的3D地面目标变形监测,使用合并的雷达和光学数据. 该技术达到毫米级准确度,误差低于10%,提高了结构健康评估.

科学领域:

地质物理学和远程传感
地质测量是指地质测量.
这是一种摄影计量技术 (photogrammetry).

背景情况:

准确量化3D地面目标变形对于基础设施监测和地质调查至关重要.
传统的方法往往缺乏全面的3D覆盖或毫米级精度.
整合多传感器数据提供了一种有希望的方法来克服局限性.

研究的目的:

引入和验证一种用于量化地面目标全面三维 (3D) 变形的新方法.
为了提高准确性,将地面合成光圈雷达 (GBSAR) 和光学变形监测数据融合在一起.
为了达到毫米级的变形监测精度.

主要方法:

使用GBSAR用于辐射变形监测和视线 (LOS) 垂直平面变形的光学设备.
开发了一个回归模型,使用基本长度单位将像素级光学变形转换为2D变形.
合并GBSAR和光学变形数据,然后进行融合处理以生成全面的3D变形形状.

主要成果:

通过物理实验成功获得地面目标的全面3D变形数据.
验证了合并数据与实际变形相对应,证明了高保真度.
实现了不到10%的相对误差和毫米级监测精度.

结论:

拟议的方法通过整合GBSAR和光学监测,有效量化3D地面目标变形.
融合技术显著提高了变形监测的准确性和全面性.
这种方法为各种地理测量应用中精确的毫米级变形分析提供了可靠的工具.

关键词:

融合数据融合数据融合数据基于地面的合成光圈雷达.回归模型是一种回归模型.这是一个三维变形.

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