Polarimetric SAR Speckle Noise Model

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 multidimens...

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Detalles Bibliográficos
Autores: López Martínez, Carlos|||0000-0002-1366-9446, Fabregas Canovas, Francisco Javier|||0000-0002-7654-9695
Tipo de recurso: artículo
Fecha de publicación:2003
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/10269
Acceso en línea:https://hdl.handle.net/2117/10269
Access Level:acceso abierto
Palabra clave:Synthetic aperture radar
Signal theory (Telecommunication)
Noise
SAR
Speckle noise model
SAR (Synthetic Aperture Radar)
Senyal, Teoria del (Telecomunicació)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
Descripción
Sumario: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.