Learning Spectral and Spatial Features Based on Generative Adversarial Network for Hyperspectral Image Super-Resolution

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19700

Title:	Learning Spectral and Spatial Features Based on Generative Adversarial Network for Hyperspectral Image Super-Resolution
Authors:	Jiang, R Li, X Gao, A Li, L Meng, H Yue, S Zhang, L
Keywords:	hyperspectral images;super-resolution;generative adversarial network;residual network
Issue Date:	14-Nov-2019
Publisher:	IEEE
Citation:	Jiang, R. et al. (2019) 'Learning Spectral and Spatial Features Based on Generative Adversarial Network for Hyperspectral Image Super-Resolution', IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 28 July-02 August, pp. 1 - 4. doi: 10.1109/igarss.2019.8900228.
URI:	https://bura.brunel.ac.uk/handle/2438/19700
DOI:	https://doi.org/10.1109/igarss.2019.8900228
ISBN:	978-1-5386-9154-0 (ebk) 978-1-5386-9155-7 (PoD)
ISSN:	2153-6996
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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