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应用科学学报 ›› 2009, Vol. 27 ›› Issue (5): 508-513.

• 信号与信息处理 • 上一篇    下一篇

SAR图像中PS点的识别与选取

陶秋香;刘国林;孙翠羽   

  1. 山东科技大学  测绘科学与工程学院，山东 青岛 266510
  • 收稿日期:2009-05-24 修回日期:2009-06-22 出版日期:2009-09-25 发布日期:2009-09-25
  • 通信作者: 陶秋香，博士生，讲师，研究方向：微波遥感技术及应用，E-mail:qiuxiangtao@163.com；刘国林，教授，博导，研究方向：测量数据处理、InSAR技术及应用，E-mail:gliu@sdust.edu.cn
  • 基金资助:
    国家自然科学基金(No.40874001)；国家“863”高技术研究发展计划基金(No.2009AA12Z147)；
    地理空间信息工程国家测绘局重点实验室开发基金(No.200812)资助项目

Identification and Selection of Persistent Scatterer Pixels from SAR Images

  1. Geomatics College, Shandong University of Science and Technology, Qingdao 266510, Shandong Province, China
  • Received:2009-05-24 Revised:2009-06-22 Online:2009-09-25 Published:2009-09-25

PDF

1375

被引次数

9

摘要：

提出一种基于小波相位分析的永久散射体(persistent scatterer, PS)的识别与选取方法. 该方法将小波理论引入到PS点识别与选取中，利用基于小波相位分析的差分干涉图滤波方法，首先对差分干涉相位图进行滤波处理，然后估算滤波后各PS候选点的噪声相位、衡量指标以及各PS点的概率，从而在兼顾各PS候选点幅度和相位的稳定性基础上实现SAR图像中PS点的有效识别与选取. 理论分析和实验结果表明，该方法识别与选取的PS点是有效而且可靠的.

关键词: 永久散射体, 小波相位分析, 噪声相位衡量指标, PS概率

Abstract:

This paper presents a new method for identification and selection of persistent scatterer (PS) pixels in SAR images based on wavelet phase analysis. The wavelet filtering theory is introduced into the PS pixel identification and selection. The differential phase interferograms are filtered using the interferogram filtering method based on the wavelet phase analysis. Noise phase and its indicator, and probability of candidate PS pixels are then estimated. Taking into account stability of the amplitude and phase of the candidate PS pixels, the PS pixels are effectively identified and selected from the SAR image. Theoretical analysis and experimental results show that the PS pixels identified and selected using the proposed method are effective and reliable.

Key words: persistent scatterer (PS) pixels, wavelet phase analysis, noise phase indicator, PS probability

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