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 …
Cuckoo Search Optimization-Based Bilateral Filter for Multiplicative Noise Reduction in Satellite Images
DA Subhahan, CNSV Kumar - SAE International Journal of Connected and …, 2023 - sae.org
Speckle noise degrades the visual appearance and the quality of a synthetic aperture radar
(SAR) image. The reduction of speckle noise is the first step in any remote-sensing device …
(SAR) image. The reduction of speckle noise is the first step in any remote-sensing device …
De-noising of salt and pepper noise using deep learning-based alpha-guided grey wolf optimization
J Raja, K Moorthi, A Rajendran - Applied Soft Computing, 2022 - Elsevier
The real images are undermined by salt and pepper noise due to uproarious sensors or
communication errors. In this paper, a hybrid SAR image noise reduction using the adaptive …
communication errors. In this paper, a hybrid SAR image noise reduction using the adaptive …
A quantitative assessment of speckle noise reduction in SAR images using TLFFBP neural network
K Murugesan, P Balasubramani… - Arabian Journal of …, 2020 - Springer
Synthetic aperture radar (SAR) images are difficult to analyze due to the presence of speckle
noise. Speckle noise must be filtered out before applying to other image processing …
noise. Speckle noise must be filtered out before applying to other image processing …
Non-additive noise reduction in medical images using bilateral filtering and modular neural networks
For the longest time, filters have been proposed to reduce speckle noise present in the
medical images for improved visual quality and quantitative image analysis. Of the …
medical images for improved visual quality and quantitative image analysis. Of the …
A Self-supervised SAR Image Despeckling Strategy Based on Parameter-sharing Convolutional Neural Networks
L Chen, Y Yin, H Shi, Q Sheng, W Li - arXiv preprint arXiv:2308.05975, 2023 - arxiv.org
Speckle noise is generated due to the SAR imaging mechanism, which brings difficulties in
SAR image interpretation. Hence, despeckling is a helpful step in SAR pre-processing …
SAR image interpretation. Hence, despeckling is a helpful step in SAR pre-processing …
Color-based SAR image segmentation using HSV+ FKM clustering for estimating the deforestation rate of LBA-ECO LC-14 modeled deforestation scenarios, Amazon …
K Murugesan, P Balasubramani, PR Murugan… - Arabian Journal of …, 2021 - Springer
Image segmentation is an essential process for image evaluation tactics. Synthetic aperture
radar (SAR) image segmentation can be implemented for a vast magnificence of various …
radar (SAR) image segmentation can be implemented for a vast magnificence of various …
An Edge-Aware Guided Filtering Technique for Multiplicative Noise Reduction in Satellite Images
DA Subhahan, CNS Vinoth Kumar - International Conference on …, 2023 - Springer
In data acquisition, satellite images are easily affected by speckle noise, which degrades
image quality. An edge-aware guided filtering technique for removing speckle noise has …
image quality. An edge-aware guided filtering technique for removing speckle noise has …
Analysis of SAR ImagesDe-speckling using a bilateral filter and feed forward neural networks
M Kalaiyarasi, S Saravanan… - 2023 Second …, 2023 - ieeexplore.ieee.org
Speckle noise reduces the quality and nature of SAR imageries and diminishes the
performance of SAR image processing. Thus, the multiplicative noise must be stifled before …
performance of SAR image processing. Thus, the multiplicative noise must be stifled before …
Processamento de imagens SAR por estruturas aproximadas tipo ARMA
PM ALMEIDA JUNIOR - 2021 - repositorio.ufpe.br
Sistemas de radar de abertura sintética (SAR) têm sido sugeridos como ferramentas
promissoras para resolver problemas de sensoriamento remoto. As imagens SAR são …
promissoras para resolver problemas de sensoriamento remoto. As imagens SAR são …