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 …

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 …

Microwave remote sensing has widely demonstrated its potential in the continuous
monitoring of our rapidly changing planet. This review provides an overview of state-of-the …

Synthetic aperture radar (SAR) images map Earth's surface at high resolution, regardless of
the weather conditions or sunshine phenomena. Therefore, SAR images have applications …

The block-matching 3-D (BM3D) algorithm, based on the nonlocal approach, is one of the
most effective methods to date for additive white Gaussian noise image denoising. Likewise …

In this paper, we propose a fast and efficient multitemporal despeckling method. The key
idea of the proposed approach is the use of the ratio image, provided by the ratio between …

We propose a despeckling algorithm for multitemporal synthetic aperture radar (SAR)
images based on the concepts of block-matching and collaborative filtering. It relies on the …

Speckle filtering is generally a prerequisite to the analysis of synthetic aperture radar (SAR)
images. Tremendous progress has been achieved in the domain of single-image …

Over the past decade, using Interferometric Synthetic Aperture Radar (InSAR) remote
sensing technology for ground displacement detection has become very successful …

A multiscale and multidirectional network named the Contourlet convolutional neural
network (CCNN) is proposed for synthetic aperture radar (SAR) image despeckling. SAR …