林区TM图像消除噪声方法的比较

Comparative Study on the Denoising Methods of TM Images for Forest Regions

介绍了几种消除噪声滤波方法的数学基础,并结合吉林省汪清林业局数据,分别用低通滤波、统计滤波、增强型自适应滤波、均值平滑滤波、中值滤波方法对研究区TM遥感图像进行滤波消噪处理,并以平滑指数FI、边缘保持因素T和峰值信噪比PSNR为评价指标,对实验结果进行了对比分析,结果表明,统计滤波(D=1)和增强型自适应滤波用于林区TM图像消除噪声的滤波器中比较好。

The mathematics foundations of some denoising methods were analyzed, and 5 disnoising methods, namely, high pass filter, statistics filter, enhanced adaptive filter, mean -smoothness filter, and median filter, were employed to dispose TM images of the study area with comparative experimentations based on the actual data from Wangqing Forestry Bureau, Jilin Province. Moreover, Filtering Index （FI） , Edge Keeping Factor （T） and Peak - value Signal Noise Ratio （PSNR） were taken as the evaluation indexes, and the comparative analysis on the experimental results was made. Results indicate that the effects of statistics filter （D = 1 ） and enhanced adaptive filter on TM images denoising, in forestry regions are better.