MRDDANet: A multiscale residual dense dual attention network for SAR image denoising

S Liu, Y Lei, L Zhang, B Li, W Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Synthetic aperture radar (SAR), due to its inherent characteristics, will produce speckle
noise, which results in the deterioration of image quality, so the removal of speckle in SAR …

Synthetic aperture radar image and its despeckling using variational methods: A Review of recent trends

S Baraha, AK Sahoo - Signal Processing, 2023 - Elsevier
Synthetic aperture radar (SAR) has drawn significant interest from the remote sensing
community due to its ability to provide high-resolution images irrespective of weather and …

Computer auxiliary diagnosis technique of detecting cholangiocarcinoma based on medical imaging: A review

S Wang, X Liu, J Zhao, Y Liu, S Liu, Y Liu… - Computer Methods and …, 2021 - Elsevier
Background and objectives Cholangiocarcinoma (CCA) is one of the most aggressive
human malignant tumors and is becoming one of the main factors of death and disability …

A deep neural network based on prior driven and structural-preserving for SAR image despeckling

C Lin, C Qiu, H Jiang, L Zou - IEEE Journal of Selected Topics …, 2023 - ieeexplore.ieee.org
Remarkable effectiveness has been demonstrated by deep neural networks in the
despeckling task for synthetic aperture radar (SAR) images. However, blurring and loss of …

A self-attention multi-scale convolutional neural network method for SAR image despeckling

Z Wen, Y He, S Yao, W Yang… - International Journal of …, 2023 - Taylor & Francis
The speckle noise found in synthetic aperture radar (SAR) images severely affects the
efficiency of image interpretation, retrieval and other applications. Thus, effective methods …

Patch ordering-based SAR image despeckling via transform-domain filtering

B Xu, Y Cui, Z Li, B Zuo, J Yang… - IEEE Journal of Selected …, 2014 - ieeexplore.ieee.org
In this paper, we propose a synthetic aperture radar (SAR) image despeckling method
based on patch ordering and transform-domain filtering. Logarithmic transformation with …

Quality control for the BPG lossy compression of three-channel remote sensing images

F Li, V Lukin, O Ieremeiev, K Okarma - Remote Sensing, 2022 - mdpi.com
This paper deals with providing the desired quality in the Better Portable Graphics (BPG)-
based lossy compression of color and three-channel remote sensing (RS) images. Quality is …

Full-reference quality metric based on neural network to assess the visual quality of remote sensing images

O Ieremeiev, V Lukin, K Okarma, K Egiazarian - Remote Sensing, 2020 - mdpi.com
Remote sensing images are subject to different types of degradations. The visual quality of
such images is important because their visual inspection and analysis are still widely used …

Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping

L Dingle Robertson, A Davidson… - … Journal of Remote …, 2020 - Taylor & Francis
Few countries are using space-based Synthetic Aperture Radar (SAR) to operationally
produce national-scale maps of their agricultural landscapes. For the past ten years …

A new method for cross-normalization and multitemporal visualization of SAR images for the detection of flooded areas

SG Dellepiane, E Angiati - IEEE Transactions on Geoscience …, 2012 - ieeexplore.ieee.org
Whenever multitemporal synthetic aperture radar (SAR) images are available, precise
calibration and perfect spatial registration are required to obtain a useful image for …