Loading...
Loading...

Go to the content (press return)

Coherency Matrix Decomposition-Based Polarimetric Persistent Scatterer Interferometry

Author
Zhao, F.; Mallorqui, J.J.
Type of activity
Journal article
Journal
IEEE transactions on geoscience and remote sensing
Date of publication
2019-10-01
Volume
57
Number
10
First page
7819
Last page
7831
DOI
10.1109/TGRS.2019.2916649
Project funding
Sensors for Multi-Scale Applications in Remote Sensing
Unitat d'Excel·lència/'María de Maeztu/': Grup de recerca en Teledetecció, Antenes, Microones i Superconductivitat
Repository
http://hdl.handle.net/2117/175344 Open in new window
URL
https://ieeexplore.ieee.org/abstract/document/8734735 Open in new window
Abstract
The rationale of polarimetric optimization techniques is to enhance the phase quality of the interferograms by combining adequately the different polarization channels available to produce an improved one. Different approaches have been proposed for polarimetric persistent scatterer interferometry (PolPSI). They range from the simple and computationally efficient BEST, where, for each pixel, the polarimetric channel with the best response in terms of phase quality is selected, to those with high...
Citation
Zhao, F.; Mallorqui, J.J. Coherency Matrix Decomposition-Based Polarimetric Persistent Scatterer Interferometry. "IEEE transactions on geoscience and remote sensing", 1 Octubre 2019, vol. 57, núm. 10, p. 7819-7831.
Keywords
Ground deformation monitoring, Interferometric phase optimization, Mexico City, Pixel density, Polarimetric persistent scatterer interferometry (PolPSI)
Group of research
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
RSLAB - Remote Sensing Lab

Participants

Attachments