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ESM data downscaling: a comparison of super-resolution deep learning models
Climate projections at fine spatial resolutions are required to conduct accurate risk assessment for critical infrastructure and design adaptation...
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Super-resolution data assimilation
Increasing model resolution can improve the performance of a data assimilation system because it reduces model error, the system can more optimally...
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Cyclone detection with end-to-end super resolution and faster R-CNN
The accurate identification of extreme weather events (EWEs), particularly cyclones, has become increasingly crucial due to the intensifying impacts...
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A Super-Resolution Reconstruction Method for Shale Based on Generative Adversarial Network
Shale gas, as a kind of unconventional resources, plays an important role in meeting global energy demands and is expected to do so for decades as...
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Towards Large-Scale DRP Simulations: Generation of Large Super-Resolution images and Extraction of Large Pore Network Models
AbstractRepresentativity and accuracy of digital rock physics (DRP) simulations depend strongly on the size of the image volume and the resolution...
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Simulations of Spotlight Synthetic Aperture Radar Super-resolution Algorithm
Aiming at the multi-angle spotlight SAR imaging mode, a multi-angle spotlight SAR super-resolution imaging algorithm is proposed. Multi-angle...
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Paired and Unpaired Deep Learning Methods for Physically Accurate Super-Resolution Carbonate Rock Images
X-ray micro-computed tomography (micro-CT) has been widely leveraged to characterise the pore-scale geometry of subsurface porous rocks. Recent...
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Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation
Digital rock physics is based on imaging, segmentation and numerical computations of rock samples. Due to challenges regarding the handling of a...
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An Intercomparison of Deep-Learning Methods for Super-Resolution Bias-Correction (SRBC) of Indian Summer Monsoon Rainfall (ISMR) Using CORDEX-SA Simulations
The Indian Summer Monsoon Rainfall (ISMR) plays a significant role in India’s agriculture and economy. Our understanding of the climate dynamics of...
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CLDASSD: Reconstructing Fine Textures of the Temperature Field Using Super-Resolution Technology
Before 2008, the number of surface observation stations in China was small. Thus, the surface observation data were too sparse to effectively support...
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Random noise suppression and super-resolution reconstruction algorithm of seismic profile based on GAN
In this paper, we propose a random noise suppression and super-resolution reconstruction algorithm for seismic profiles based on Generative...
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Enhancing hyperspectral image compression using learning-based super-resolution technique
The term super-resolution (SR) refers to the applications of enhancing the resolution of an image from low-resolution (LR) to high-resolution (HR)....
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Diagnosing the upper ocean variability in the Northern Bay of Bengal during the super cyclone Phailin using a high-resolution regional ocean model
A high-resolution ocean circulation model is customized over the region (80°E–95°E; 10°N–23°N) in the Bay of Bengal to study the changes in upper...
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Physics-informed deep learning framework to model intense precipitation events at super resolution
Physical modeling of precipitation at fine (sub-kilometer) spatial scales is computationally very expensive. This study develops a highly efficient...
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RETRACTED ARTICLE: Super-resolution restoration of degraded image based on fuzzy enhancement
In order to improve the effectiveness of traditional super-resolution restoration methods of degraded image, a method based on fuzzy enhancement is...
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RETRACTED ARTICLE: The ecological evaluation of marine water resources based on image super-resolution and the effectiveness of English distance teaching
Image super-resolution reconstruction technology refers to the reconstruction of a given low-resolution image into a corresponding high-resolution...
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Super-Resolution Reconstruction of Porous Media Using Concurrent Generative Adversarial Networks and Residual Blocks
Accurate porous media reconstruction has always been one of the significant research hotspots in the numerical simulation of reservoirs. The...
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RETRACTED ARTICLE: Rainfall soil erosion based on color image super resolution and rural revitalization design
Based on the super-resolution color image, this paper studies the design of rainfall soil erosion and rural revitalization. The steep slope system of...
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High-resolution sea surface wind speeds of Super Typhoon Lekima (2019) retrieved by Gaofen-3 SAR
Gaofen-3 (GF-3) is the first Chinese space-borne multi-polarization synthetic aperture radar (SAR) instrument at C-band (5.43 GHz). In this paper, we...
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RETRACTED ARTICLE: Groundwater resource pollution detection and home sports training intervention based on image super-resolution processing
In the past few years, due to the vigorous development of China’s industry and the rapid increase in urbanization, a series of adverse effects have...
