Impact of SAR Image Resolution on Polarimetric Persistent Scatterer Interferometry With Amplitude Dispersion Optimization

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Título: Impact of SAR Image Resolution on Polarimetric Persistent Scatterer Interferometry With Amplitude Dispersion Optimization
Autor/es: Zhao, Feng | Mallorquí Franquet, Jordi J. | Lopez-Sanchez, Juan M.
Grupo/s de investigación o GITE: Señales, Sistemas y Telecomunicación
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Universitario de Investigación Informática
Palabras clave: Ground deformation | Interferometric phase optimization | Persistent scatterer interferometry (PSI) | Polarimetry | Synthetic aperture radar (SAR) | Image resolution
Área/s de conocimiento: Teoría de la Señal y Comunicaciones
Fecha de publicación: 26-feb-2021
Editor: IEEE
Cita bibliográfica: IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 5202810. https://doi.org/10.1109/TGRS.2021.3059247
Resumen: Polarimetric persistent scatterer interferometry (PolPSI) takes advantage of polarimetric optimization algorithms that enhance interferograms' phase quality by adequately combining the available polarization channels (e.g., HH, VV, HV, and VH) into an improved one. Amplitude dispersion (DA) is one of the commonly used phase quality metrics for this optimization. The resolution of the images is supposed to have an impact on the performance of DA-based PolPSI in terms of both pixel density and quality. In this research, this impact is investigated. Specifically, 30 quad-pol RADARSAT-2 images over Barcelona with a resolution around 5 m in both range and azimuth are employed to generate additional data sets with degraded resolutions, ranging from 7.5 to 20 m. The results confirm that, in all cases, the ability of DA to select high-quality pixels, i.e., persistent scatterers, decreases when the spatial resolution worsens because the loss of resolution increases the number of scatterers present in a resolution cell. In addition, it would be expected that the performance of the polarimetric optimization of DA would tend to decrease when the spatial resolution worsens. However, for all employed resolutions, the polarimetric optimization improves the density and quality of PSs with respect to that of any single polarimetric channel. Moreover, this improvement is more noticeable, in relative terms, as the image resolution degrades.
Patrocinador/es: This work was supported in part by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), the State Research Agency (AEI) and the European Funds for Regional Development (EFRD) under Project TEC2017-85244-C2-1-P and Project TEC2017-85244-C2-2-P, in part by the National Natural Science Foundation of China under Grant 42004011 and Grant 41874044, in part by the China Postdoctoral Science Foundation under Grant 2020M671646, in part by the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions (Science and Technology of Surveying and Mapping), and in part by the CommSensLab, which is Unidad de Excelencia Maria de Maeztu MDM-2016-0600 financed by the AEI, Spain.
URI: http://hdl.handle.net/10045/113450
ISSN: 0196-2892 (Print) | 1558-0644 (Online)
DOI: 10.1109/TGRS.2021.3059247
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Revisión científica: si
Versión del editor: https://doi.org/10.1109/TGRS.2021.3059247
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