基于有向窗的自适应SIGMA中值滤波算法

Directionally Dependent Adaptive SIGMA Median Filter

摘要: 提出了一种能够有效消除InSAR DEM噪声的自适应中值滤波算法:基于有向窗的自适应SIGMA中值滤波。分别采用中值滤波、基于高程的自适应SIGMA中值滤波和基于有向窗的自适应SIGMA中值滤波算法,对InSAR Tandem DEM和模拟DEM进行了滤波处理。结果表明,基于有向窗的自适应SIGMA中值滤波算法不仅能够更有效地消除噪声,而且能够更好地保留图像的边界特征。

Abstract: A directionally dependent adaptive SIGMA median filter is developed for the noise removal in SAR interferometry (InSAR) derived digital elevation model (DEM). In this filter, the directionally dependent window is selected as the filter window. The performance of median filter, elevation dependent adaptive SIGMA median filter, and directionally dependent adaptive SIGMA median filter are tested on both InSAR Tandem DEM and simulated high-level noisy DEM. From the comparison, the directionally dependent adaptive SIGMA median filter is the most effective one not only in the noise removing but also in the boundary preserve.