A physical analysis of polarimetric SAR data statistical models

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/91133

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.author	Deng, Xinping
dc.contributor.author	López Martínez, Carlos
dc.contributor.author	Varona, Eduardo Makhoul
dc.date	2016-01-08
dc.identifier.citation	Deng, X., Lopez, C., Varona, E. A physical analysis of polarimetric SAR data statistical models. "IEEE transactions on geoscience and remote sensing", 8 Gener 2016, vol. 54, p. 3035-3048.
dc.identifier.citation	0196-2892
dc.identifier.citation	10.1109/TGRS.2015.2510399
dc.identifier.uri	http://hdl.handle.net/2117/91133
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7377073
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject	Earth sciences
dc.subject	Remote sensing
dc.subject	Polarimetric synthetic aperture radar (PolSAR)
dc.subject	Random walk model
dc.subject	Simulation
dc.subject	Statistical model
dc.subject	Texture analysis
dc.subject	Ciències de la terra
dc.subject	Teledetecció
dc.title	A physical analysis of polarimetric SAR data statistical models
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	The random walk model is studied with the objective to obtain a physical explanation for the texture of polarimetric synthetic aperture radar (SAR) data. A simulator is designed to imitate the scattering process under different circumstances, taking into account different distributions for the scatterer number and the scatterer response, as well as mixtures of scatterers. Statistical analysis of the simulated data shows that the distribution of the scatterer response has an effect only when the number of scatterers in a resolution cell is very small, which appears in very high resolution data. Moreover, it is found that both the fluctuation of the scatterer number and the mixture of different targets can give non-Gaussian-distributed data. The mixture of point targets and distributed targets will lead to an extremely heterogeneous appearance, which may be a clue to analyze the urban areas in polarimetric SAR data.
dc.description.abstract	Peer Reviewed

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