A new physically based speckle model for marine single-look complex (SLC) synthetic aperture radar (SAR) im- ages is here presented and investigated. The model allows using full-resolution SAR images instead of multilook SAR images, in which, at the expense of a coarser spatial resolution, the speckle is mitigated. The model is based on the three-parameters gener- alized- (GK) probability density function (pdf). GK pdf is a suitable physically-based speckle model for marine SAR images ensuring a continuous and physically consistent transition among different scattering scenarios. This speckle model embodies Rayleigh, , and Rice scattering scenes which are typical of marine scenes. The use of the three parameters, related to the GK pdf ones, is able to highlight the presence of both low backscat- tering areas and areas in which a small dominant scatterer is present. This is operationally interesting in SAR oil spill detection procedures.

A Physically Consistent Speckle Model for Marine SLC SAR Images

MIGLIACCIO, Maurizio;FERRARA, Giuseppe;NUNZIATA, FERDINANDO;SORRENTINO, Antonio
2007-01-01

Abstract

A new physically based speckle model for marine single-look complex (SLC) synthetic aperture radar (SAR) im- ages is here presented and investigated. The model allows using full-resolution SAR images instead of multilook SAR images, in which, at the expense of a coarser spatial resolution, the speckle is mitigated. The model is based on the three-parameters gener- alized- (GK) probability density function (pdf). GK pdf is a suitable physically-based speckle model for marine SAR images ensuring a continuous and physically consistent transition among different scattering scenarios. This speckle model embodies Rayleigh, , and Rice scattering scenes which are typical of marine scenes. The use of the three parameters, related to the GK pdf ones, is able to highlight the presence of both low backscat- tering areas and areas in which a small dominant scatterer is present. This is operationally interesting in SAR oil spill detection procedures.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/709
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