摘要
城市道路塌陷灾害检测中,完全依靠雷达图像处理人员工作经验的传统雷达数据处理方式不仅耗时耗力,且人为干预对成果的可靠性和准确性带来不确定因素,面对城市海量雷达数据处理时,传统雷达数据处理方式受制于雷达图像处理速度和工作效率的约束,其可行性受到挑战。首次提出了基于HHT和3S融合技术的道路空洞雷达图像解译方法。该方法充分利用当前城市已有的GPS、GIS及RS技术和数据,通过与雷达数据的数据融合处理、坐标匹配、图层叠加和HHT信号分析等技术,实现道路空洞雷达图像的半自动识别,成果的可靠性和工作效率显著提高。
In the process of urban road collapse disaster detection,the traditional radar data processing method,which relies entirely on the experience of radar image processing personnel,is not only time-consuming and labor-intensive,and human intervention brings uncertainties to the reliability and accuracy of the results.In the face of urban massive radar data processing,the feasibility of traditional radar data processing is seriously challenged.In this paper,an algorithm for road cavity radar image interpretation based on HHT and 3 S fusion technology is proposed for the first time.This method makes full use of the city’s existing GPS,GIS and RS technologies and data to realizes the automatic recognition of road cavity radar images by coordinate matching,layer stacking and HHT signal analysis with radar data,and greatly improve the reliability and efficiency of the results.
作者
何江龙
侯至群
李照永
李世强
He Jianglong;Hou Zhiqun;Li Zhaoyong;Li Shiqiang(Kunming Managemengt Office of Urban Undergrangd Space Planing,Kunming 650011,china)
出处
《电子测量技术》
2020年第14期103-109,共7页
Electronic Measurement Technology
