Evaluation of the Multilook Size in Polarimetric Optimization of Differential SAR Interferograms
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Título: | Evaluation of the Multilook Size in Polarimetric Optimization of Differential SAR Interferograms |
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Autor/es: | Mestre-Quereda, Alejandro | Lopez-Sanchez, Juan M. | Ballester-Berman, J. David | González, Pablo J. | Hooper, Andrew | Wright, Timothy J. |
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 |
Palabras clave: | Differential SAR interferometry (DInSAR) | Filtering optimization | Phase noise | Polarimetry |
Área/s de conocimiento: | Teoría de la Señal y Comunicaciones |
Fecha de publicación: | 8-jun-2018 |
Editor: | IEEE |
Cita bibliográfica: | IEEE Geoscience and Remote Sensing Letters. 2018. doi:10.1109/LGRS.2018.2839179 |
Resumen: | The interferometric coherence is a measure of the correlation between two SAR images and constitutes a commonly used estimator of the phase quality. Its estimation requires a spatial average within a 2-D window, usually named as multilook. The multilook processing allows reducing noise at the expenses of a resolution loss. In this letter, we analyze the influence of the multilook size while applying a polarimetric optimization of the coherence. The same optimization algorithm has been carried out with different multilook sizes and also with the nonlocal SAR filter filter, which has the advantage of preserving the original resolution of the interferogram. Our experiments have been carried out with a single pair of quad-polarimetric RADARSAT-2 images mapping the Mount Etna's volcanic eruption of May 2008. Results obtained with this particular data set show that the coherence is increased notably with respect to conventional channels when small multilook sizes are employed, especially over low-vegetated areas. Conversely, very decorrelated areas benefit from larger multilook sizes but do not exhibit an additional improvement with the polarimetric optimization. |
Patrocinador/es: | This work was supported in part by the Spanish Ministry of Economy, Industry and Competitiveness, the State Agency of Research (AEI), and the European Funds for Regional Development under Project TIN2014-55413-C2-2-P and Project TEC2017-85244-C2-1-P, in part by the Spanish Ministry of Education under Grant PRX14/00151, and in part by the U.K. Natural Environmental Research Council through the Center for the Observation and Modeling of Earthquakes, Volcanoes and Tectonics under Grant GA/13/M/031. |
URI: | http://hdl.handle.net/10045/76419 |
ISSN: | 1545-598X (Print) | 1558-0571 (Online) |
DOI: | 10.1109/LGRS.2018.2839179 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2018 IEEE |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1109/LGRS.2018.2839179 |
Aparece en las colecciones: | INV - SST - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2018_Maestre_etal_IEEE-GeosciRemoteSensLet_preprint.pdf | Preprint (acceso abierto) | 16,09 MB | Adobe PDF | Abrir Vista previa |
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