Title :
Physical-based models of speckle for high resolution SAR images
Author :
Di Martino, Gerardo ; Iodice, Antonio ; Riccio, Daniele ; Ruello, Giuseppe
Author_Institution :
Univ. di Napoli Federico II, Naples, Italy
Abstract :
In this paper we present a physical model for the description of the speckle in Synthetic Aperture Radar (SAR) images. The proposed model highlights the analytical dependence of the speckle characteristics on the surface roughness and the sensor parameters. The illuminated surface is represented using the fractal geometry. In addition, a SAR raw signal simulator able to generate SAR images whose speckle characteristics are coherent with the observed surface properties is presented.
Keywords :
image resolution; radar imaging; speckle; surface roughness; synthetic aperture radar; SAR raw signal simulator; fractal geometry; high resolution SAR images; illuminated surface; physical model; sensor parameters; speckle characteristics; surface properties; surface roughness; synthetic aperture radar; Image resolution; Rough surfaces; Sensors; Signal resolution; Speckle; Surface roughness; Surface waves; Synthetic aperture radar; speckle;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5649378
