SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture
Author:
Affiliation:
1. College of Engineering and IT, University of Dubai,UAE
2. University of Strathclyde,Department of Electronic and Electrical Engineering,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883578.pdf?arnumber=9883578
Reference21 articles.
1. 3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images
2. Image super-resolution using deep convolutional networks;dong;CoRR,2015
3. Accurate image super-resolution using very deep convolutional networks;kim;CoRR,2015
4. Photo-realistic single image super-resolution using a generative adversarial network;ledig;CoRR,2016
5. A Frequency-Separated 3D-CNN for Hyperspectral Image Super-Resolution
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1. Bayesian Hybrid Loss for Hyperspectral SISR Using 3D Wide Residual CNN;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
2. Attention-Infused 3D-SRCNN for Hyperspectral Image Super Resolution;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
3. Complex-valued neural network for hyperspectral single image super resolution;Hyperspectral Imaging and Applications II;2023-01-12
4. A Review of Spatial Enhancement of Hyperspectral Remote Sensing Imaging Techniques;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023
5. A Study on Deep Learning Approaches for Mars Weather Forecasting;2022 5th International Conference on Signal Processing and Information Security (ICSPIS);2022-12-07
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