A tutorial on speckle reduction in synthetic aperture radar images
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 …
synthetic aperture radar (SAR) images, as well as all coherent images. Over the last three …
[BUCH][B] Polarimetric radar imaging: from basics to applications
JS Lee, E Pottier - 2017 - taylorfrancis.com
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 …
have shown that polarimetric radar imaging can provide abundant data on the Earth's …
A review on recent developments in fully polarimetric SAR image despeckling
The use of synthetic aperture radar (SAR) technology with quad-polarization data requires
efficient polarimetric SAR (PolSAR) speckle filtering algorithms. During the last three …
efficient polarimetric SAR (PolSAR) speckle filtering algorithms. During the last three …
Improved sigma filter for speckle filtering of SAR imagery
JS Lee, JH Wen, TL Ainsworth… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
The Lee sigma filter was developed in 1983 based on the simple concept of two-sigma
probability, and it was reasonably effective in speckle filtering. However, deficiencies were …
probability, and it was reasonably effective in speckle filtering. However, deficiencies were …
Fast flood extent monitoring with SAR change detection using google earth engine
Flooding is one of the most frequent and disastrous natural hazards triggered by extreme
precipitation, high river runoff, hurricane storm surges, and the compounding effects of …
precipitation, high river runoff, hurricane storm surges, and the compounding effects of …
Optical and SAR image registration based on feature decoupling network
D **ang, Y **e, J Cheng, Y Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automatic registration of optical and synthetic aperture radar (SAR) images is one of the
most challenging tasks due to the influence of speckle noise and nonlinear radiation …
most challenging tasks due to the influence of speckle noise and nonlinear radiation …
Intensity-driven adaptive-neighborhood technique for polarimetric and interferometric SAR parameters estimation
In this paper, a new method to filter coherency matrices of polarimetric or interferometric data
is presented. For each pixel, an adaptive neighborhood (AN) is determined by a region …
is presented. For each pixel, an adaptive neighborhood (AN) is determined by a region …
MuLoG, or how to apply Gaussian denoisers to multi-channel SAR speckle reduction?
Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) imaging. Since
most current and planned SAR imaging satellites operate in polarimetric, interferometric, or …
most current and planned SAR imaging satellites operate in polarimetric, interferometric, or …
[BUCH][B] Remote sensing image fusion: A practical guide
C Pohl, J Van Genderen - 2016 - taylorfrancis.com
Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing
image fusion providing an overview on the sensors and applications. It describes data …
image fusion providing an overview on the sensors and applications. It describes data …
DeSpeckNet: Generalizing deep learning-based SAR image despeckling
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 …
radar (SAR) images. So far, most DL models are trained to reduce speckle that follows a …