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DnRCNN: Deep recurrent convolutional neural network for HSI destri**
In spite of achieving promising results in hyperspectral image (HSI) restoration, deep-
learning-based methodologies still face the problem of spectral or spatial information loss …
learning-based methodologies still face the problem of spectral or spatial information loss …
Removing stripe noise from infrared cloud images via deep convolutional networks
P ** network: A new perspective for EO-1 Hyperion and Chinese hyperspectral satellite datasets
From the EO-1 Hyperion imaging spectrometer to the newly launched Chinese satellite
hyperspectral imagers, stripe noise is a ubiquitous phenomenon that seriously degrades the …
hyperspectral imagers, stripe noise is a ubiquitous phenomenon that seriously degrades the …
[HTML][HTML] Destri** of remote sensing images by an optimized variational model
F Yan, S Wu, Q Zhang, Y Liu, H Sun - Sensors, 2023 - mdpi.com
Satellite sensors often capture remote sensing images that contain various types of stripe
noise. The presence of these stripes significantly reduces the quality of the remote images …
noise. The presence of these stripes significantly reduces the quality of the remote images …
Stripe noise removal in conductive atomic force microscopy
Conductive atomic force microscopy (c-AFM) can provide simultaneous maps of the
topography and electrical current flow through materials with high spatial resolution and it is …
topography and electrical current flow through materials with high spatial resolution and it is …
[HTML][HTML] Directional ℓ0 Sparse Modeling for Image Stripe Noise Removal
Remote sensing images are often polluted by stripe noise, which leads to negative impact
on visual performance. Thus, it is necessary to remove stripe noise for the subsequent …
on visual performance. Thus, it is necessary to remove stripe noise for the subsequent …
[PDF][PDF] Multiscale Intensity Propagation to Remove Multiplicative Stripe Noise From Remote Sensing Images.
H Cui, P Jia, G Zhang, YH Jiang, L Li… - IEEE Trans. Geosci …, 2020 - researchgate.net
Sensor instability, dark currents, and other factors often cause stripe noise corruption in
hyperspectral remote sensing images and severely limit their application in practical …
hyperspectral remote sensing images and severely limit their application in practical …
Blind natural image deblurring with edge preservation based on L0-regularized gradient prior
Y Zhang, Y Shi, L Ma, J Wu, L Wang, H Hong - Optik, 2021 - Elsevier
L 0 regularization is highly suitable for estimating the latent image in the blur kernel
estimation step of the two-step process of blind image deblurring. To tackle L 0 …
estimation step of the two-step process of blind image deblurring. To tackle L 0 …
Single-frame-based column fixed-pattern noise correction in an uncooled infrared imaging system based on weighted least squares
F Li, Y Zhao, W **ang - Applied optics, 2019 - opg.optica.org
Uncooled infrared images typically suffer from column fixed-pattern noise (FPN), which is
introduced by the non-uniformity of the column-parallel readout circuit. It is a challenging …
introduced by the non-uniformity of the column-parallel readout circuit. It is a challenging …