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03/28/2022
An attention mechanism based convolutional network for satellite precipitation downscaling over China
Precipitation is a key part of hydrological circulation and is a sensiti...
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11/29/2021
Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data
Land surface temperature (LST) is a key parameter when monitoring land s...
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11/22/2021
CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images
The task of instance segmentation in remote sensing images, aiming at pe...
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09/01/2021
An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images
Image fusion technology is widely used to fuse the complementary informa...
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08/13/2021
Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion
In the fields of image restoration and image fusion, model-driven method...
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07/18/2021
Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network
The data fusion technology aims to aggregate the characteristics of diff...
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11/19/2020
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
Hyperspectral images are crucial for many research works. Spectral super...
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10/13/2018
Deep learning based cloud detection for remote sensing images by the fusion of multi-scale convolutional features
Cloud detection is an important preprocessing step for the precise appli...
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10/01/2018
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network
The existence of hybrid noise in hyperspectral images (HSIs) severely de...
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09/06/2018
Oblique Stripe Removal in Remote Sensing Images via Oriented Variation
Destriping is a classical problem in remote sensing image processing. Al...
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09/04/2018
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model
In the field of spatial-spectral fusion, the model-based method and the ...
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07/16/2018
Learning Transferable Deep Models for Land-Use Classification with High-Resolution Remote Sensing Images
In recent years, large amount of high spatial-resolution remote sensing ...
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06/01/2018
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...
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12/28/2017
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
Pan-sharpening is a fundamental and significant task in the field of rem...
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09/09/2017
Learning a Dilated Residual Network for SAR Image Despeckling
In this letter, to break the limit of the traditional linear models for ...
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07/25/2017
Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"
Remote sensing images often suffer from cloud cover. Cloud removal is re...
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05/22/2017
Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network
In the field of fusing multi-spectral and panchromatic images (Pan-sharp...
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11/22/2016
A Spatial and Temporal Non-Local Filter Based Data Fusion
The trade-off in remote sensing instruments that balances the spatial re...
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06/17/2016
