浓霾污染的激光遥感图像去噪滤波器设计  

Design of Laser Remote Sensing Image Denoising Filter for Haze Pollution

作　　者：郭永锋[1] 郭清宇[2] 

机构地区：[1]中原工学院信息商务学院信息技术系,郑州450007 [2]中原工学院计算机学院,郑州450007

出　　处：《激光杂志》2017年第8期147-151,共5页Laser Journal

基　　金：河南省科技攻关项目(112102210499)

摘　　要：激光遥感图像受到噪声的污染,可能会使图像边缘失真,出现图像模糊,为此提出了浓霾污染的激光遥感图像去噪滤波器,首先分析激光遥感图像非平稳信号的相关扭曲和偏差,通过全变差优化方法得到相应的滤波器和分解后的激光遥感图像低频成份和高频成份,完成信号和图像的自适应分解研究,然后结合最大似然估计得到优化的激光遥感图像小波系数的参数估计,运用最大后验概率来估计从含噪激光遥感图像的小波系数中恢复该激光遥感图像的系数,从而完成激光遥感图像去噪滤波器设计,最后实验结果表明,该有效降低了激光遥感图像存在的噪声,提高了激光遥感图像质量。Laser remote sensing images were polluted by noise which may make edge distortion and fuzz. Therefore,the laser remote sensing image denoising filter of thick haze pollution was proposed. First analysis the related distortions and deviations of non-stationary signal in laser remote sensing image. Obtain the related filter and the low and high frequency components of laser remote sensing image after decomposition by total variation method,and to complete adaptive decomposition of signal and image. Then get the coefficients estimation of optimal laser remote sensing image wavelet coefficient combined with maximum likelihood estimation. Complete the laser remote sensing image denoising filter design by recovering its coefficient in wavelet coefficients of laser remote sensing image with noise through the maximum posterior probability. Finally the experimental results show that this method effectively reduced the noise of laser remote sensing image and improved the quality of laser remote sensing images.

关 键 词：浓霾污染 激光遥感图像 去噪滤波器 小波系数 

分 类 号：TN751[电子电信—电路与系统]