DSpace DSpace UPC
 Català   Castellano   English  

E-prints UPC >
Altres >
Enviament des de DRAC >

Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/2117/8329

Arxiu Descripció MidaFormat
MargaritGerard.pdf1,52 MBAdobe PDFThumbnail

Citació: Margarit, G.; Mallorqui, J.J.; Pipia, L. Polarimetric characterization and temporal stability analysis of urban target scattering. "IEEE transactions on geoscience and remote sensing", Abril 2010, vol. 48, núm. 4, p. 2038-2048.
Títol: Polarimetric characterization and temporal stability analysis of urban target scattering
Autor: Margarit Martín, Gerard Veure Producció científica UPC; Mallorquí Franquet, Jordi Joan Veure Producció científica UPC; Pipia, Luca
Editorial: IEEE Press. Institute of Electrical and Electronics Engineers
Data: abr-2010
Tipus de document: Article
Resum: This paper studies the polarimetric-dispersion properties of urban targets and their evolution along time in terms of the geometrical configuration. The relations between target geometry and the scattering behavior have been defined through the analysis of large stacks of simulated images. Scattering maps and synthetic aperture radar (SAR) images have been synthesized with the numerical tool GRaphical Electromagnetic COmputing SAR for different qualitative models of two real buildings. Ground-based SAR (GB-SAR) data acquired in a subsidence measurement campaign has been used to assess the simulator’s realism. These data have permitted the identification of the critical simulation parameters and their range of recommended values for realistic simulations. In the context of very high resolution images, the results derived from this study may be crucial for making progress in urban-image postprocessing. As the different resolution cells comprise few scattering centers showing a quasideterministic scattering behavior, nonprobabilistic models based on target’s geometry seem more suited for scattering modeling. In thesemodels, the geometry-scattering (GS) links precisely inferred from simulated images can be very important. In addition to change detection and land classification, GS models may help in improving the interpretation of subsidence results with differential interferometry. Certainly, new processing algorithms can be developed exploiting the available scattering data with more physical sense. In addition, they can take more advantage of the fine resolution and polarimetric capabilities of the new sensors, like TerraSAR-X or RADARSAT-2.
ISSN: 0196-2892
URI: http://hdl.handle.net/2117/8329
DOI: 10.1109/TGRS.2009.2035052
Apareix a les col·leccions:RSLAB - Remote Sensing Research Group. Articles de revista
Departament de Teoria del Senyal i Comunicacions. Articles de revista
Altres. Enviament des de DRAC

Stats Mostra les estadístiques d'aquest ítem

SFX Query

Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets.

Per a qualsevol ús que se'n vulgui fer no previst a la llei, dirigiu-vos a: sepi.bupc@upc.edu


Valid XHTML 1.0! Programari DSpace Copyright © 2002-2004 MIT and Hewlett-Packard Comentaris
Universitat Politècnica de Catalunya. Servei de Biblioteques, Publicacions i Arxius