A Research on the SAR Interferogram Noise Reduction with the Application of Wavelet Transforms
Interferometric phase noise reduction is a key approach in Synthetic aperture radar (SAR) interferometry. As an effective means in image processing,wavelet transform has been progressively exploited to reduce the phase noise. This paper first introduces a DWT-based noise reduction algorithm. Then,by using the stationary wavelet transform (SWT),we make an amelioration of this algorithm and simulate both algorithms with raw data.Based on the simulation results,we find the connection between reduction effect and the type of wavelet transform. At last,a new scheme,which has good performance both in reducing the phase noise and maintaining the continuity of the interferometric strips especially in high-noise area,is addressed.In the raw-data simulation,the results show that the new algorithm is feasible and effective.
discrete wavelet transform (DWT) stationary wavelet transform (SWT) interferogram phase noise
Li Chen Zhu Daiyin
College of Information Science and Technology Nanjing University of Aeronautics & Astronautics Nanjing,210016,P.R.China
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
1039-1042
2009-10-26（万方平台首次上网日期，不代表论文的发表时间）