Deep learning meets SAR: Concepts, models, pitfalls, and perspectives

XX Zhu, S Montazeri, M Ali, Y Hua… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
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 …

A systematic review on recent developments in nonlocal and variational methods for SAR image despeckling

S Baraha, AK Sahoo, S Modalavalasa - Signal Processing, 2022 - Elsevier
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 …

Earth environmental monitoring using multi-temporal synthetic aperture radar: A critical review of selected applications

D Amitrano, G Di Martino, R Guida, P Iervolino… - Remote Sensing, 2021 - mdpi.com
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 …

Speckle noise reduction technique for SAR images using statistical characteristics of speckle noise and discrete wavelet transform

H Choi, J Jeong - Remote Sensing, 2019 - mdpi.com
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 …

InSAR-BM3D: A nonlocal filter for SAR interferometric phase restoration

F Sica, D Cozzolino, XX Zhu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Ratio-based multitemporal SAR images denoising: RABASAR

W Zhao, CA Deledalle, L Denis, H Maître… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
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 …

Multitemporal speckle reduction with self-supervised deep neural networks

I Meraoumia, E Dalsasso, L Denis… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
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 …

Multitemporal SAR image despeckling based on block-matching and collaborative filtering

G Chierchia, M El Gheche, G Scarpa… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

DeepInSAR—A deep learning framework for SAR interferometric phase restoration and coherence estimation

X Sun, A Zimmer, S Mukherjee, NK Kottayil, P Ghuman… - Remote Sensing, 2020 - mdpi.com
Over the past decade, using Interferometric Synthetic Aperture Radar (InSAR) remote
sensing technology for ground displacement detection has become very successful …

A phase filtering method with scale recurrent networks for InSAR

L Pu, X Zhang, Z Zhou, J Shi, S Wei, Y Zhou - Remote Sensing, 2020 - mdpi.com
Phase filtering is a key issue in interferometric synthetic aperture radar (InSAR) applications,
such as deformation monitoring and topographic mapping. The accuracy of the deformation …