SAR Image Despeckling by Using Nonlocal Sparse Coding Model
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0704-5
Abstract: Based on the key observation that the coding residuals between the recovered sparse codes of the noisy SAR image and those of the clean SAR image are sparse, we propose a sparse representation-based despeckling algorithm… read more here.
Keywords: image; using nonlocal; sparse; image despeckling ... See more keywords
SAR image despeckling with a multilayer perceptron neural network
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2018.1447032
Abstract: ABSTRACT Speckle noise in synthetic-aperture radar (SAR) images severely hinders remote sensing applications; therefore, the appropriate removal of speckle noise is crucial. This paper elaborates on the multilayer perceptron (MLP) neural-network model for SAR image… read more here.
Keywords: image; network; multilayer perceptron; image despeckling ... See more keywords
A Blind SAR Image Despeckling Method Based on Improved Weighted Nuclear Norm Minimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3217033
Abstract: Coherent imaging of synthetic aperture radar (SAR) systems generates multiplicative speckle noise and severely impairs SAR images’ interpretability. Although numerous despeckling methods have been proposed over the past three decades, SAR despeckling remains an unsolved… read more here.
Keywords: method based; sar image; nuclear norm; despeckling method ... See more keywords
SAR Image Despeckling Based on Combination of Fractional-Order Total Variation and Nonlocal Low Rank Regularization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2952662
Abstract: Regularization method is an effective tool for synthetic aperture radar (SAR) image despeckling. Design of the effective regularization terms describing the image priors plays a vital role in this kind of method. In this article,… read more here.
Keywords: sar image; image despeckling; image; fractional order ... See more keywords
Video SAR Image Despeckling by Unsupervised Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3045284
Abstract: It has long been recognized that synthetic aperture radar (SAR) images suffer in many applications from the speckle noise. Video SAR has a high frame rate of imaging and contains redundant information among frames. The… read more here.
Keywords: video sar; image despeckling; sar image; speckle noise ... See more keywords
Edge Preserved Low-Rank SAR Image Despeckling via Hierarchical Prior Knowledge Regulation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3261502
Abstract: Synthetic aperture radar (SAR) image despeckling is a challenging task as speckle noise is spatially correlated and signal-dependent, and appears as a grainy texture superimposed on images. Although traditional low-rank SAR image despeckling methods have… read more here.
Keywords: low rank; sar image; image despeckling; edge ... See more keywords
A New Non-Linear Hyperbolic-Parabolic Coupled PDE Model for Image Despeckling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3149230
Abstract: In this work, we propose a non-linear hyperbolic-parabolic coupled Partial Differential Equation (PDE) based model for image despeckling. Here, a separate equation is used to calculate the edge variable, which improves the quality of edge… read more here.
Keywords: non linear; model; hyperbolic parabolic; image despeckling ... See more keywords
Learning synthetic aperture radar image despeckling without clean data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.14.026518
Abstract: Abstract. Speckle noise can reduce the image quality of synthetic aperture radar (SAR) and make interpretation more difficult. Existing SAR image despeckling convolutional neural networks require quantities of noisy–clean image pairs. However, obtaining clean SAR… read more here.
Keywords: synthetic aperture; without clean; aperture radar; image despeckling ... See more keywords
Synthetic Aperture Radar Image Despeckling Based on Multi-Weighted Sparse Coding
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24010096
Abstract: Synthetic aperture radar (SAR) images are inherently degraded by speckle noise caused by coherent imaging, which may affect the performance of the subsequent image analysis task. To resolve this problem, this article proposes an integrated… read more here.
Keywords: aperture radar; synthetic aperture; sparse coding; weighted sparse ... See more keywords