Speckle is a granular deformity that frequently appears in images acquired through coherent
imaging sensors such as synthetic aperture radar (SAR). The existence of such noise in the …

Speckle filtering is an unavoidable step when dealing with applications that involve
amplitude or intensity images acquired by coherent systems, such as Synthetic Aperture …

Synthetic aperture radar (SAR), due to its inherent characteristics, will produce speckle
noise, which results in the deterioration of image quality, so the removal of speckle in SAR …

Crop maps are key inputs for crop inventory production and yield estimation and can inform
the implementation of effective farm management practices. Producing these maps at …

Traditionally, clean reference images are needed to train the networks when applying the
deep learning techniques to tackle image denoising tasks. However, this idea is …

Deep learning (DL) has proven to be a suitable approach for despeckling synthetic aperture
radar (SAR) images. So far, most DL models are trained to reduce speckle that follows a …

Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) images. Many
different schemes have been proposed for the restoration of intensity SAR images. Among …

Synthetic aperture radar (SAR) images often interfere with speckle artifacts that have a great
impact on subsequent processing and analysis operations. To remove speckle artifacts, this …

Change detection has played an increasingly important role in multitemporal remote
sensing applications recently. Long time series analysis is providing new information of land …

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