基于模数的干涉相位自适应中值滤波法
doi: 10.3724/SP.J.1146.2011.00860
A Mode Based Auto-adaptive Median Filtering Method for Interferometric Phase
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摘要: 为了改善对干涉相位噪声的抑制效果而又确保有用相位跳变信息不被滤除,该文首先研究了模数滤波算法,并提出了一种基于最短子区间搜索的干涉相位模数估计算子对其进行改进,在进一步分析模数估计参数与相位分辨率之间关系的基础上,提出了一种局部相位中心随干涉相位质量自适应变化的中值滤波方法。该方法不仅克服了模数滤波导致的条纹边缘模糊问题,还解决了传统空域滤波进行一致性处理所造成的过滤波和欠滤波问题,而且具有较高的运算效率。最后通过对仿真和实测TerraSARX数据的处理和分析,验证了该方法的有效性。Abstract: In order to improve the phase noise reduction effect and to avoid filtering useful phase jumps, this paper first investigates mode filtering algorithm and proposes a modified mode estimator based on shortest sub-interval seeking for interferometric phase. By further analysis of relationship between mode estimating parameter and phase resolution, an auto adaptive local phase center with variation of interferometric phase quality is constructed, based on which an adaptive median filtering method is presented. This method could overcome the edge blur problem caused by mode filter, and is also effective to avoid over filtering or under filtering caused by conventional spatial filter with uniform parameter. Meanwhile, it achieves better computation efficiency. Finally, experiments with simulated and real TerraSARX data are performed to testify the effectiveness of this method.
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Key words:
- Interferometric SAR /
- Auto-adaptive filtering /
- Noise reduction /
- Mode estimate
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