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基于联合像素模型和WAVES的频InSAR相位融合
引用本文:白生祥,唐劲松,张森,刘丹丹. 基于联合像素模型和WAVES的频InSAR相位融合[J]. 仪器仪表学报, 2011, 32(11)
作者姓名:白生祥  唐劲松  张森  刘丹丹
作者单位:海军工程大学水声技术研究室 武汉430033
基金项目:国家自然科学基金,国家863计划
摘    要:提出了一种基于联合像素模型和信号子空间加权平均方法(weighted average of signal subspaces,WAVES)的多频带InSAR自适应相位融合方法.首先,采用联合像素模型对各频带InSAR信号建模,然后,借鉴WAVES的思想对多频带信号子空间进行聚焦和加权,获得通用协方差矩阵,最后,利用窄带估计方法估计出绝对干涉相位.该方法可以在图像配准精度很差(可以允许达到一个分辨单元)的条件下获得稳健的干涉相位估计性能,仿真数据和SIR-C实际雷达数据验证了此方法的有效性.

关 键 词:InSAR  配准误差  多频  联合像素模型

Interferometric phase fusion based on joint pixel model and WAVES for multi-frequency InSAR systems
Bai Shengxiang,Tang Jinsong,Zhang Sen,Liu Dandan. Interferometric phase fusion based on joint pixel model and WAVES for multi-frequency InSAR systems[J]. Chinese Journal of Scientific Instrument, 2011, 32(11)
Authors:Bai Shengxiang  Tang Jinsong  Zhang Sen  Liu Dandan
Affiliation:Bai Shengxiang,Tang Jinsong,Zhang Sen,Liu Dandan (Laboratory of Underwater Acoustic Technology,Naval Engineering University,Wuhan 430033,China)
Abstract:An interferometric phase fusion method for multi-frequency InSAR systems is proposed in this paper.The method takes advantage of the coherence information of neighboring pixel pairs to automatically coregister the SAR images in difference frequency bins.Using WAVES(weighted average of signal subspaces),the method transforms the signal subspaces at many frequency bins into a general correlation matrix at one focusing frequency using a transformation matrix and a weighting matrix;then estimates the elevation ...
Keywords:InSAR  coregistration error  multi-frequency  joint pixel model  
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