A hybrid adaptive method for interferometric phase filtering based on the mode and median filter

• Published in: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) pp. 2971 - 2974
• Main Authors: Qi Zhang, Tiandong Liu, Zegang Ding, Tao Zeng, Teng Long
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2015
• Subjects: Adaptive filters; Azimuth; Filtering algorithms; Filtering theory; Hybrid adaptive; interferometric phase noise; median; mode; Phase noise; Rocks; shortest sub-interval
• ISSN: 2153-6996; 2153-7003
• DOI: 10.1109/IGARSS.2015.7326439

In this paper, a creative hybrid adaptive filtering algorithm is designed to combine a modified mode filter with an adaptive median filter for the suppression of interferometric phase noise which is a quality insurance of the following phase unwrapping operation. This combination provides the hybrid filtering algorithm with remarkable flexibility to terrain. At first, this paper presents a modified mode filter with an adaptive shortest sub-interval estimator. Then, it uses the mode filtering result as the variable local phase center of the median filter and improves it with an adaptive filtering window varying with the residue density and correlation coefficient. Finally, a hybrid adaptive filtering algorithm is proposed for the reduction of interferometric phase noise. The studies utilize the simulated Peak data and the real Ayers Rock data as data support. Through analyzing the phase residues and the PSD values of the filtering results, we finally prove the validity of this method.