Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …

The imaging modalities are used to view other organs and analyze different tissues in the
body. In such imaging modalities, a new and developing imaging technique is hyperspectral …

Abstract Synthetic Aperture Radar (SAR) imaging is generally characterized by a large
amount of data and a high sampling rate. The traditional one-bit compressed sensing will …

One of the most interesting problems in denoising of images includes despeckling of
multiplicative noise. This paper proposes a novel statistical processor in the framework of …

The importance of remote sensing has ballooned in the recent decade, due to the increased
need for its applications, from commercial and economic, to intelligence and military …

In this work, we present a novel generative adversarial network (GAN) for speckle reduction
in synthetic aperture radar (SAR) imagery that requires only knowledge of the noise …

Currently, deep neural networks have been widely used in the field of SAR target
recognition. Many researchers found that deep neural networks have an ability of denoising …

For SAR de-speckling, two hybrid filtering algorithms based on the bilateral filter (BF), edge-
based adaptive mean filter (EAM) and non-local mean filter (NLM) are presented in this …

Many researches have been carried out for change detection using temporal SAR images.
In this paper an algorithm for change detection using SAR videos has been proposed. There …