Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …

Digital holography (DH) has emerged as one of the most effective coherent imaging
technologies. The technological developments of digital sensors and optical elements have …

Due to strong learning ability, convolutional neural networks (CNNs) have been developed
in image denoising. However, convolutional operations may change original distributions of …

Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture
radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a …

Deep learning in remote sensing has received considerable international hype, but it is
mostly limited to the evaluation of optical data. Although deep learning has been introduced …

The main objective of the present study was to provide a novel methodological approach for
flash flood susceptibility modeling based on a feature selection method (FSM) and tree …

In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …

Speckle is a granular disturbance, usually modeled as a multiplicative noise, that affects
synthetic aperture radar (SAR) images, as well as all coherent images. Over the last three …

The recent launches of three fully polarimetric synthetic aperture radar (PolSAR) satellites
have shown that polarimetric radar imaging can provide abundant data on the Earth's …

Bilateral filtering smooths images while preserving edges, by means of a nonlinear
combination of nearby image values. The method is noniterative, local, and simple. It …