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 |
López Martínez, Carlos |
dc.contributor.author |
Fabregas Canovas, Francisco Javier |
dc.date |
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.citation |
0196-2892 |
dc.identifier.uri |
http://hdl.handle.net/2117/10269 |
dc.language.iso |
eng |
dc.publisher |
IEEE Institute Electrical Electronics Engineers INC |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.subject |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject |
Synthetic aperture radar |
dc.subject |
Signal theory (Telecommunication) |
dc.subject |
Noise |
dc.subject |
SAR |
dc.subject |
Speckle noise model |
dc.subject |
SAR (Synthetic Aperture Radar) |
dc.subject |
Senyal, Teoria del (Telecomunicació) |
dc.title |
Polarimetric SAR Speckle Noise Model |
dc.type |
info:eu-repo/semantics/article |
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 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. |