Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images. (arXiv:2207.11111v1 [eess.IV])

Reducing speckle and limiting the variations of the physical parameters in
Synthetic Aperture Radar (SAR) images is often a key-step to fully exploit the
potential of such data. Nowadays, deep learning approaches produce state of the
art results in single-image SAR restoration. Nevertheless, huge multi-temporal
stacks are now often available and could be efficiently exploited to further
improve image quality. This paper explores two fast strategies employing a
single-image despeckling algorithm, namely SAR2SAR, in a multi-temporal
framework. The first one …

arxiv images sentinel strategies temporal