J4 ›› 2011, Vol. 38 ›› Issue (4): 77-81+88.doi: 10.3969/j.issn.1001-2400.2011.04.014

• 研究论文 • 上一篇    下一篇

一种InSAR干涉相位图的自适应滤波算法

郭交;李真芳;刘艳阳;保铮   

  1. (西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安  710071)
  • 收稿日期:2010-06-12 出版日期:2011-08-20 发布日期:2011-09-28
  • 通讯作者: 郭交
  • 作者简介:郭交(1984-),男,西安电子科技大学博士研究生,E-mail: jiao.g@163.com.
  • 基金资助:

    国家自然科学基金资助项目(60802074, 41001282);教育部新世纪优秀人才支持计划资助项目;中央高校基本科研业务费专项资金资助项目(JY10000902011)

New adaptive noise suppressing method for interferometric phase images

GUO Jiao;LI Zhenfang;LIU Yanyang;BAO Zheng   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2010-06-12 Online:2011-08-20 Published:2011-09-28
  • Contact: GUO Jiao

摘要:

提出了一种自适应的InSAR干涉相位图滤波方法.干涉相位滤波算法的关键是独立同分布滤波样本的选取,该方法以相位变化最小为准则,根据区域增长策略,在当前滤波像素的邻域空间内自适应地选择滤波窗口,再在此窗口内进行复数平均得到滤波后的干涉相位值.以相位变化最小为准则进行滤波样本的选取,使其满足独立同分布的条件,从而提高干涉相位滤波的性能.仿真数据和实测数据的处理结果表明,该算法具有较好的滤波性能,能够充分保持干涉相位图像细节,并有效地去除噪声.

关键词: 干涉合成孔径雷达, 干涉相位图, 相位滤波, 自适应区域增长

Abstract:

This paper proposes a new adaptive noise suppressing method for interferometric phase images. The key point of noise filtering for interferometric phase images is the selection of the independent and identically distributed (i.i.d.) samples. The proposed method determines filtering samples with the criterion of the minimum phase differences according to the region-growing strategy, and then computes the filtered phase in the complex domain. Due to the minimum phase difference, the proposed method selects the filtering samples that obey the i.i.d. assumption more accurately, thus improving the filtering performance. Finally, experiments carried out on simulated and real data confirm that the proposed method possesses a better filtering performance and has the ability to suppres the noise effectively while maintaining the interferogram details adequately.

Key words: synthetic aperture radar interferometry (InSAR), interferogram, phase filtering, adaptive region growing

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