论文标题
Insar阶段DeNoising：对当前技术和未来方向的审查
InSAR Phase Denoising: A Review of Current Technologies and Future Directions
论文作者
论文摘要
如今，通过增强信息采集，干涉综合孔径雷达（Insar）已成为遥感中的强大工具。在InsAR处理过程中，干涉图的相位降级是地形映射和变形监测的强制性步骤。在过去的三十年中，已经开发了大量有效的算法来在此主题上做出努力。在本文中，我们全面概述了Insar阶段denoising方法，将已建立和新兴算法分为四个主要类别。前两个部分分别是指传统的本地过滤器和转换域过滤器的类别。考虑到其出色的性能，第三部分侧重于非本地（NL）过滤器的类别。后者，还引入了一些基于新的信号处理概念的高级方法，以显示其在该领域的潜力。此外，通过使用模拟和测量数据进行数值实验来说明几种流行的降级方法和比较。本文的目的旨在通过促进Insar信号处理的架构开发为相关研究人员提供必要的指南和灵感。
Nowadays, interferometric synthetic aperture radar (InSAR) has been a powerful tool in remote sensing by enhancing the information acquisition. During the InSAR processing, phase denoising of interferogram is a mandatory step for topography mapping and deformation monitoring. Over the last three decades, a large number of effective algorithms have been developed to do efforts on this topic. In this paper, we give a comprehensive overview of InSAR phase denoising methods, classifying the established and emerging algorithms into four main categories. The first two parts refer to the categories of traditional local filters and transformed-domain filters, respectively. The third part focuses on the category of nonlocal (NL) filters, considering their outstanding performances. Latter, some advanced methods based on new concept of signal processing are also introduced to show their potentials in this field. Moreover, several popular phase denoising methods are illustrated and compared by performing the numerical experiments using both simulated and measured data. The purpose of this paper is intended to provide necessary guideline and inspiration to related researchers by promoting the architecture development of InSAR signal processing.
