摘要
为了使边坡监测图像在后续处理中更加真实可靠,本文针对某矿山地基SAR边坡监测图像数据的空间特性,对监测图像进行了去噪研究,重点介绍了五种经典去噪方法,并进行了地基SAR金属矿山边坡监测实验。对各去噪实验结果进行了定性和定量评价分析表明,全变分滤波方法对监测图像的综合去噪效果最优,算法实现所需的时间较短,为后续边坡形变的实时计算等监测图像处理提供了有效的数据基础。
In order to make the slope monitoring images more true and reliable in the subsequent processing,a denoising study based on the spatial characteristics of the image data is conducted on the monitoring images of the slope of a ground-based SAR metal mine.Five classic denoising methods are introduced in detail,and experiments are carried out on monitoring the slope of the mine.Qualitative and quantitative evaluation and analysis are carried out on the experimental results.The analysis shows that the full variational filtering method exhibits the best comprehensive denoising performance with less algorithm implementation time.This conclusion provides an effective data basis for the subsequent image processing,such as real-time calculation of slope deformation.
作者
樊伟
张孝帅
FAN Wei;ZHANG Xiaoshuai(Angang Group Mining Co.LTD.Dagushan Branch,Anshan 114046,China;School of Civil Engineering,University of Science and Technology Liaoning,Anshan 114051,China)
出处
《辽宁科技大学学报》
CAS
2020年第1期46-51,共6页
Journal of University of Science and Technology Liaoning
基金
国家重点研发计划(2016YFC0801602).
关键词
地基SAR
边坡监测
图像数据
信噪比
评估指标
ground-based SAR
slope monitoring
image data
signal-to-noise ratio
evaluation index
