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Polarimetric SAR Speckle Noise Model
dc.contributor.author | López Martínez, Carlos |
dc.contributor.author | Fabregas Canovas, Francisco Javier |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2010-11-12T12:00:44Z |
dc.date.available | 2010-11-12T12:00:44Z |
dc.date.created | 2003-10-31 |
dc.date.issued | 2003-10-31 |
dc.identifier.citation | Carlos López-Martínez, Xavier Fabregas. (2003). Polarimetric SAR Speckle Noise Model. IEEE Transactions on geoscience and remote sensing, 41 (10): 2232-2242. ISSN:0196-2892 |
dc.identifier.issn | 0196-2892 |
dc.identifier.uri | http://hdl.handle.net/2117/10269 |
dc.description | Synthetic aperture radar (SAR) data are affected by speckle noise, originated by the SAR system's coherent nature. The problem of speckle noise in one-dimensional (1-D) data is already solved, as speckle has a multiplicative characteristic. SAR polarimetry represents an extension to multidimensional data by the use of polarization wave diversity. As a consequence of the existence of a correlation degree between the SAR images, the 1-D speckle noise model cannot be extended to multidimensional SAR data. This paper is devoted to present a completely new speckle noise model for the complex covariance matrix describing polarimetric SAR data in the distributed scatterers case. As is shown, this new model is able to identify which are the noise mechanisms in all the covariance matrix elements. The speckle noise model is validated by using real L-band polarimetric data acquired with the German E-SAR sensor. |
dc.description.abstract | Synthetic aperture radar (SAR) data are affected by speckle noise, originated by the SAR system’s coherent nature. The problem of speckle noise in one-dimensional (1-D) data is already solved, as speckle has a multiplicative characteristic. SAR polarimetry represents an extension to multidimensional data by the use of polarization wave diversity. As a consequence of the existence of a correlation degree between the SAR images, the 1-D speckle noise model cannot be extended to multidimensional SAR data. This paper is devoted to present a completely new speckle noise model for the complex covariance matrix describing polarimetric SAR data in the distributed scatterers case. As will be shown, this new model is able to identify which are the noise mechanisms in all the covariance matrix elements. The speckle noise model is validated by using real L-band polarimetric data acquired with the German E-SAR sensor. |
dc.format.extent | 2232-2242 |
dc.language.iso | eng |
dc.publisher | IEEE Institute Electrical Electronics Engineers INC |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Synthetic aperture radar |
dc.subject.lcsh | Signal theory (Telecommunication) |
dc.subject.lcsh | Noise |
dc.subject.other | SAR |
dc.subject.other | Speckle noise model |
dc.title | Polarimetric SAR Speckle Noise Model |
dc.type | Article |
dc.subject.lemac | SAR (Synthetic Aperture Radar) |
dc.subject.lemac | Senyal, Teoria del (Telecomunicació) |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.rights.access | Open Access |
local.personalitzacitacio | true |
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