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dc.contributor.authorLópez Martínez, Carlos
dc.contributor.authorFabregas Canovas, Francisco Javier
dc.contributor.authorPipia, Luca
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationLópez, C.; Fabregas, F.; Pipia, L. Forest parameter estimation in the Pol-InSAR context employing the multiplicative–additive speckle noise model. "ISPRS journal of photogrammetry and remote sensing", Setembre 2011, vol. 66, núm. 5, p. 597-607.
dc.description.abstractThis paper addresses the problem of speckle noise on single baseline polarimetric SAR interferometry (Pol-InSAR) on the basis of the multiplicative–additive speckle noise model. Considering this speckle noise model, a novel filtering technique is defined and studied in terms of simulated and experimental Pol-InSAR data. As demonstrated, the use of the multiplicative–additive speckle noise model does not lead to a corruption of the useful information but to an improvement of its estimation. The performance of the algorithm is analyzed in terms of the physical parameters retrieved from the filtered data, that in this work correspond to the forest height and the ground phase. In case of experimental data, the retrieved forest height is compared and validated against Lidar ground truth measurements.
dc.format.extent11 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshSynthetic aperture radar
dc.subject.lcshPolarimetric interferometry
dc.subject.lcshSpeckle noise
dc.subject.lcshSAR interferometry
dc.titleForest parameter estimation in the Pol-InSAR context employing the multiplicative–additive speckle noise model
dc.subject.lemacRadar d'obertura sintètica
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorLópez, C.; Fabregas, F.; Pipia, L.
local.citation.publicationNameISPRS journal of photogrammetry and remote sensing

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