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.