摘要
介绍了小波变换的基本原理和图像去噪常见的滤波方法,采用几种常见滤波分别对模拟差分干涉图和EVISAT卫星获取的矿区真实合成孔径雷达(ASAR)数据的差分干涉图分别进行滤波去噪处理,并对其去噪效果进行分析。采用小波变换和中值滤波相结合的方法对矿区真实ASAR数据差分干涉图进行去噪处理,并对先中值滤波再小波变换和先小波变换再中值滤波两种方式去噪结果分别进行了分析比较,结果表明:先小波变换再中值滤波去噪后,图像保真效果较好。
The basic principles of wavelet transform and the methods of image denoising filter were introduced. Their effects of denoising were compared after several common filtering denoising the simulated Gaussian surfaces and the real mining ASAR data from ENVISAT satellite differential interferograms. Finally, the wave transform and median filtering effect was better by the combination of wavelet transform and median filtering denoising the mining ASAR data differential interferograms.
出处
《全球定位系统》
2011年第2期29-35,共7页
Gnss World of China
基金
海岛(礁)测绘技术国家测绘局重点实验室资助项目(2010A01)
