Improving Phase Unwrapping Techniques by the Use of Nonlinear Phase Model
This paper presents a new efficient phase unwrapping algorithm for interferometric synthetic aperture radar (InSAR) phase images based on nonlinear phase model. Firstly, based on the analysis of statistical properties and signal characteristics of the interferometric phase, the concept of nonlinear phase model is proposed. It uses the nonlinear phase model of reflecting the topographic outline to approximate the interferometric phase change appeared in the local window. The lower amplitude bound of principal vector is defined and its value acquire method be given, which can effectively and adaptively extract the nonlinear components of the phase. Secondly, the nonlinear phase model is introduced to phase unwrapping, which increased the reliability of integration path and the accuracy of phase gradient, and improved effectively the performance of phase unwrapping. Real data processing results demonstrate the validity of the proposed nonlinear phase model and its corresponding processing method.
InSAR phase unwrapping nonlinear phase model.
Wang Qingsong Huang Haifeng Yu Anxi Dong Zhen
School of Electronic Science and Engineering National University of Defense Technology
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
406-410
2011-10-24（万方平台首次上网日期，不代表论文的发表时间）