量子电子学报, 2005, 22 (2): 155, 网络出版: 2006-05-15
遥感图像斑点噪声的局部统计滤波算法比较
Comparison of local statistic filtering on speckle of remote sensing image
遥感图像处理 斑点噪声 局部统计滤波 标准差 remote sensing image processing speckle noise local statistic filtering standard deviation
摘要
分析了Kuan滤波和σ滤波两种基于局部统计滤波的斑点噪声平滑算法的原理,以实际的激光遥感图像为例进行了滤波实验,并对滤波性能进行了比较,结果表明Kuan滤波是有一定自适应能力的局部统计滤波方法,而σ滤波是简单而高效率的平滑算法.
Abstract
The principles of two kinds of typical local statistic algorithm on speckle smoothing, which are named Kuan and σ filtering respectively, are analyzed. Then the smoothing features are compared by doing experiments on real laser remote sensing image. The results indicate that Kuan algorithm has better adaptive ability and σ filtering is more simple and more efficient.
杨维明, 陈建新. 遥感图像斑点噪声的局部统计滤波算法比较[J]. 量子电子学报, 2005, 22(2): 155. 杨维明, 陈建新. Comparison of local statistic filtering on speckle of remote sensing image[J]. Chinese Journal of Quantum Electronics, 2005, 22(2): 155.
PDF全文
