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04/10/2023
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Optical-flow-based and kernel-based approaches have been widely explored...
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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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10/01/2018
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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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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02/23/2018
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network
Because of the internal malfunction of satellite sensors and poor atmosp...
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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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05/22/2017
