Topography Adaptive Filtering of Phase Image Based On Residue Matrix

At present, SAR interferometry (InSAR) is the foreland of radar remote sensing. This paper will suggest residual matrix used as the factor of filtering to interferometric phase image. Two kinds of filters for phase image are modified through utilizing residual matrix. The modified filters have different filter intensity in different areas of the phase image according to noise condition. Therefore they can realize an adaptive filtering effect and preserve topographical information and fringes in areas with steep slopes. The implementation of the filters is described in detail and the effectiveness is tested by using the interferometric phase data generated from ERS-1 repeat-pass

[1]  Louis A. Romero,et al.  A Cellular Automata Method for Phase Unwrapping , 1986, Topical Meeting On Signal Recovery and Synthesis II.

[2]  Henri Maître,et al.  Improving phase unwrapping techniques by the use of local frequency estimates , 1998, IEEE Trans. Geosci. Remote. Sens..

[3]  Konstantinos Papathanassiou,et al.  A new technique for noise filtering of SAR interferometric phase images , 1998, IEEE Trans. Geosci. Remote. Sens..

[4]  C. Werner,et al.  Satellite radar interferometry: Two-dimensional phase unwrapping , 1988 .

[5]  Giovanni Poggi,et al.  A Bayesian filtering technique for SAR interferometric phase fields , 2004, IEEE Transactions on Image Processing.

[6]  川村 宏,et al.  "Space at the Service of our Environment"シンポジウム報告 , 1993 .

[7]  Akira Hirose,et al.  Adaptive noise reduction of InSAR images based on a complex-valued MRF model and its application t o phase unwrapping problem , 2002, IEEE Trans. Geosci. Remote. Sens..

[8]  Kostas Papathanassiou,et al.  A new technique for noise filtering of SAR interferogram phase images , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[9]  Richard M. Goldstein,et al.  Radar ice motion interferometry , 1997 .