Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means
L Torres, SJS Sant'Anna, C da Costa Freitas… - Pattern Recognition, 2014 - Elsevier
This paper presents a technique for reducing speckle in Polarimetric Synthetic Aperture
Radar (PolSAR) imagery using nonlocal means and a statistical test based on stochastic …
Radar (PolSAR) imagery using nonlocal means and a statistical test based on stochastic …
Non-dominated sorting modified teaching–learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE)
A non-dominated sorting modified teaching–learning-based optimization (NSMTLBO) is
proposed to obtain the optimum solution for a multi-objective problem related to machining …
proposed to obtain the optimum solution for a multi-objective problem related to machining …
A comprehensive review of SAR image filtering techniques: systematic survey and future directions
RK Painam, S Manikandan - Arabian Journal of Geosciences, 2021 - Springer
The synthetic aperture radar (SAR) is an active instrument used in various atmospheric
conditions and can generate images with high resolution. SAR is a satellite imaging …
conditions and can generate images with high resolution. SAR is a satellite imaging …
Edge-preserving convolutional generative adversarial networks for SAR-to-optical image translation
With the ability for all-day, all-weather acquisition, synthetic aperture radar (SAR) remote
sensing is an important technique in modern Earth observation. However, the interpretation …
sensing is an important technique in modern Earth observation. However, the interpretation …
Speckle noise removal in SAR images using Multi-Objective PSO (MOPSO) algorithm
R Sivaranjani, SMM Roomi, M Senthilarasi - Applied Soft Computing, 2019 - Elsevier
SAR images are inherently affected by speckle noise, and although attempts made earlier to
remove speckle succeeded, there is still the challenge of preserving the edges of images …
remove speckle succeeded, there is still the challenge of preserving the edges of images …
Speckle reduction via deep content-aware image prior for precise breast tumor segmentation in an ultrasound image
The performance of computer-aided diagnosis (CAD) systems that are based on ultrasound
imaging has been enhanced owing to the advancement in deep learning. However …
imaging has been enhanced owing to the advancement in deep learning. However …
Unpaired speckle extraction for SAR despeckling
Speckle suppression is a critical step in synthetic aperture radar (SAR) imaging. Since
speckle-free SAR images are inaccessible, supervised denoising methods are not suitable …
speckle-free SAR images are inaccessible, supervised denoising methods are not suitable …
HDRANet: Hybrid dilated residual attention network for SAR image despeckling
J Li, Y Li, Y Xiao, Y Bai - Remote Sensing, 2019 - mdpi.com
In order to remove speckle noise from original synthetic aperture radar (SAR) images
effectively and efficiently, this paper proposes a hybrid dilated residual attention network …
effectively and efficiently, this paper proposes a hybrid dilated residual attention network …
Image denoising and despeckling methods for SAR images to improve image enhancement performance: a survey
E Ponmani, P Saravanan - Multimedia Tools and Applications, 2021 - search.proquest.com
The synthetic aperture radar (SAR) images are playing an essential role in remote sensing.
Various types of internal, external, and environmental noise are affecting the SAR images …
Various types of internal, external, and environmental noise are affecting the SAR images …
SPB-Net: A deep network for SAR imaging and despeckling with downsampled data
K Xiong, G Zhao, Y Wang, G Shi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) typically faces both large-scale data and speckle noise
problems, which, respectively, induce enormous strains on transmission and storage and …
problems, which, respectively, induce enormous strains on transmission and storage and …