Multi-temporal speckle reduction with self-supervised deep neural networks
Inès Meraoumia,
Emanuele Dalsasso,
Loïc Denis
et al.
Abstract:Speckle filtering is generally a prerequisite to the analysis of synthetic aperture radar (SAR) images. Tremendous progress has been achieved in the domain of single-image despeckling. Latest techniques rely on deep neural networks to restore the various structures and textures peculiar to SAR images. The availability of time series of SAR images offers the possibility of improving speckle filtering by combining different speckle realizations over the same area.The supervised training of deep neural networks r… Show more
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