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《Journal of Northeast Forestry University》 2005-05
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Comparative Study on the Denoising Methods of TM Images for Forest Regions

Wang Lihai, Zhao Zhengyong(North-east Forestry University, Harbin 150040, P. R. China)  
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.
【Fund】: 国家“十五”攻关课题(2001BA510B07-02)资助。
【CateGory Index】: S771.3
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