摘要
干涉图滤波去噪是InSAR相位解缠前的关健一环,常规单一滤波方法不能达到理想去噪效果。根据InSAR干涉图特性,提出一种小波变换与圆周期中值滤波组合去噪方法,对干涉图进行高、低频分解和中值滤波,既能保留干涉图细节,又能较好去除噪点;采用欧空局Sentinel-1A雷达卫星的两景影像,进行小波变换与圆周期中值滤波组合、圆周期中值滤波、梯度自适应滤波去噪实验,对滤波后影像定性和定量评价,结果表明小波-圆周期滤波方法可以很好地抑制噪声,同时较好地保持相位条纹的边缘信息。
It’s necessary to filter the interferogram before the phase unwrapping.The general single filtering can’t achieve well de-noising effects.According to the characteristics of InSAR interferogram,a denoising method combining wavelet transform and circular median value filtering is proposed to decompose the interferogram at high and low frequency and filter the median value,which can not only preserve the details of the interferogram,but also remove the noise points.By Two views of the Esa sentinel-1A radar satellite were used wavelet transform and combination of circular midterm median filter,circular midterm value filtering,gradient adaptive filtering denoising experiments,the filter after image of qualitative and quantitative evaluation,the results show that wavelet-periodic pivoting median filtering can well restrain noise,at the same time can keep well the information of the edge.
作者
付五洲
钱传俊
陆彬
李涛
FU Wu-zhou;QIAN Chuan-jun;LU Bin;LI Tao(Changjiang River Estuary Bureau of Hydrology and Water Resources Survey,Bureau of Hydrology,Changjiang River Estuary Water Environment Monitoring Center,Shanghai 200136,China)
出处
《现代测绘》
2021年第5期36-39,共4页
Modern Surveying and Mapping
关键词
INSAR
干涉图
滤波
小波-圆周期滤波
InSAR
interferogram
filtering
wavelet-periodic pivoting median filtering
作者简介
第一作者:付五洲,工程师,研究方向为海洋测绘。
