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《Forest Engineering》 2015-03
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The Comparison and Analysis of SAR Image Filtering Methods

Wang Yuhang;Fan Wenyi;Zhang Jinhu;School of Forestry,Northeast Forestry University;  
The speckle noise is an inherent defect in SAR system,which hindered the subsequent application of SAR images.To deal with the shortage of speckle removal and edge preservation in the SAR despeckle operations,an adaptive despeckle filter that can preserve edges based on noise identification and edge detection oriented to SAR images was proposed. In this paper,the mechanism of SAR image speckle noise and statistical properties were first described and then according to the purpose of image classification,the common speckle filters,including LEE and enhanced LEE filtering,FROST and enhanced FROST filtering,GAMMA filtering,KUAN filtering,and LOCAL SIGMA filtering were applied to Jiangle State Forest Farm in Fujian RADARSAT-2 images. Finally,the results were analyzed based on the evaluation index. The results showed that the enhanced LEE adaptive filter was the best,which can maintain better image edge information and at the same time remove the speckle noise. The comparison and analysis of the system's different methods of filtering has provided a theoretical basis of selecting filtering method for the SAR image classification of forest types.
【Fund】: 国家高技术研究发展计划(2012AA102001)
【CateGory Index】: S771.8
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