InSAR Phase Denoising: A Review of Current Technologies and Future Directions

Interferometric synthetic aperture radar (InSAR) is a powerful remote sensing tool that enhances information acquisition. During InSAR processing, the phase denoising of the interferogram is a mandatory step for topography mapping and deformation monitoring. During the past three decades, a large nu...

Full description

Saved in:
Bibliographic Details
Published in:IEEE geoscience and remote sensing magazine 2020-06, Vol.8 (2), p.64-82
Main Authors: Xu, Gang, Gao, Yandong, Li, Jinwei, Xing, Mengdao
Format: Article
Language:English
Subjects:
Coherence
Noise measurement
Noise reduction
Phase noise
Remote sensing
Surfaces
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Interferometric synthetic aperture radar (InSAR) is a powerful remote sensing tool that enhances information acquisition. During InSAR processing, the phase denoising of the interferogram is a mandatory step for topography mapping and deformation monitoring. During the past three decades, a large number of effective algorithms have been developed for efforts related to this topic. In this article, we give a comprehensive overview of InSAR phase-denoising methods, classifying the established and emerging algorithms into four main categories. The purpose is to provide the necessary guidelines and inspiration to related researchers by promoting the architecture development of InSAR signal processing.
ISSN:2473-2397
2168-6831
DOI:10.1109/MGRS.2019.2955120