...
首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >A very fast phase inversion approach for small baseline style interferogram stacks
【24h】

A very fast phase inversion approach for small baseline style interferogram stacks

机译:适用于小型基线样式干涉图堆栈的非常快速的相位反转方法

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The recently developed interferometric time-series analysis techniques have shown great potential in ground surface deformation monitoring applications. Such techniques overcome the drawbacks of the traditional differential radar interferometry (DInSAR) and can achieve millimeter-level measurement accuracy. One of the most important operations in interferometric time-series analysis techniques -referred to as phase inversion - is to estimate relative deformation velocity and digital elevation model error from a double-differenced interferometric phase time-series. Unfortunately, current phase inversion methods generally exhibit a low computational efficiency due to their high non-linearity, especially in the case when the dimension of an interferogram stack is large. In this paper, a new approach is proposed to efficiently resolve phase inversion problems defined on stacks constructed by interferograms with small baselines. The approach separates an estimation procedure into two parts. First, preliminary estimates are obtained by weighted least squares. Then, the estimates are refined by optimizing the corresponding ensemble phase coherence function. The proposed approach was applied to simulated and real data. Experimental results demonstrate that it can accurately address the phase inversion problem with a very high computational performance.
机译:最近开发的干涉式时间序列分析技术在地面变形监测应用中显示出巨大潜力。此类技术克服了传统差分雷达干涉测量法(DInSAR)的缺点,可以实现毫米级的测量精度。干涉式时间序列分析技术中最重要的操作之一(称为相位反转)是根据双差干涉式相位时间序列估算相对变形速度和数字高程模型误差。不幸的是,当前的相位反转方法由于它们的高非线性而通常表现出低的计算效率,尤其是在干涉图堆栈的尺寸较大的情况下。在本文中,提出了一种新方法来有效解决由基线较小的干涉图构成的堆栈所定义的相位反转问题。该方法将估计过程分为两部分。首先,通过加权最小二乘获得初步估计。然后,通过优化相应的整体相位相干函数来完善估计。所提出的方法被应用于模拟和真实数据。实验结果表明,该算法能够以很高的计算性能准确解决相位反转问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号