Hyperspectral Image Super-Resolution for Multi Attention-Generative Adversarial Network

Image super-resolution (SR) methods can generating a remote sensing imaging from high spatial resolution without increasing a cost, these are difficult to obtain due to high cost of accession equipment and complex weather. In this paper, this model proposes a Multi Attention-Generative Adversarial N...

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Bibliographic Details

Published in:	2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC) pp. 1 - 7
Main Authors:	Hussein, A. H. A., Issa, Ali Ashoor, Shilpa, N, Almusawi, Muntather, C, Ramachandra A
Format:	Conference Proceeding
Language:	English
Published:	IEEE 04-12-2023
Subjects:	Convolution Costs Deep learning Generative adversarial networks Generators Hyperspectral Image Multi Attention-Generative Adversarial Network Separable-spectral convolution and Super-resolution Superresolution Task analysis Wireless communication
Online Access:	Get full text
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