Synthetic aperture radar (SAR) has drawn significant interest from the remote sensing
community due to its ability to provide high-resolution images irrespective of weather and …

Remarkable effectiveness has been demonstrated by deep neural networks in the
despeckling task for synthetic aperture radar (SAR) images. However, blurring and loss of …

Satellite images of synthetic aperture radar (SAR) sensors are contaminated by speckles
from the coherent imaging mechanism. Although removing or mitigating speckle has been a …

Speckle reduction is a longstanding topic for polarimetric synthetic aperture radar (PolSAR)
images. In this article, we propose a novel end-to-end PolSAR image despeckling …

Speckle is an interference phenomenon that contaminates images captured by coherent
illumination systems. Due to its multiplicative and non-Gaussian nature, it is challenging to …

Interferometric synthetic aperture radar (InSAR) images are severely corrupted by noise in
both magnitude and phase. It is significantly essential to recover the true interferometric …

Nonlocal means synthetic aperture radar (SAR) image despeckling approaches have
attracted much research attention. However, high computational burden always limits its …

Synthetic aperture radar (SAR) provides valuable information about the Earth's surface in all-
weather and day-and-night conditions. Due to the inherent presence of speckle …

Synthetic aperture radar (SAR) are fundamental system for Earth Observation. In particular,
polarimetric SAR (PolSAR) sensors provide images of a scene at different polarizations …

Synthetic aperture radar (SAR) images are inevitably interspersed with speckle noise due to
their coherent imaging mechanism, which greatly hinders subsequent related research and …