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Open Access research that responds to the COVID-19 pandemic...

Strathprints makes available scholarly Open Access content seeking to respond to the medical, scientific, economic and social emergencies arising from the COVID-19 pandemic. Researchers from across the Faculties of Science, Engineering, Business and the Humanities, Arts & Social Sciences (HaSS) are all contributing to improved human understanding of -- or solutions to -- the issues surrounding management of the pandemic and the post-pandemic recovery.

Explore COVID-19 related Open Access research. Or explore all of Strathclyde's Open Access research...

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Jump to: 2018 | 2017 | 2015
Number of items: 4.

2018

Qiao, Tong and Yang, Zhijing and Ren, Jinchang and Yuen, Peter and Zhao, Huimin and Sun, Genyun and Marshall, Stephen and Benediktsson, Jon Atli (2018) Joint bilateral filtering and spectral similarity-based sparse representation : a generic framework for effective feature extraction and data classification in hyperspectral imaging. Pattern Recognition, 77. pp. 316-328. ISSN 0031-3203

2017

Cao, Faxian and Yang, Zhijing and Ren, Jinchang and Ling, Wing-Kuen and Zhao, Huimin and Marshall, Stephen (2017) Extreme sparse multinomial logistic regression : a fast and robust framework for hyperspectral image classification. Remote Sensing, 9 (12). ISSN 2072-4292

Cao, Faxian and Yang, Zhijing and Ren, Jinchang and Jiang, Mengying and Ling, Wing-Kuen (2017) Linear vs. nonlinear extreme learning machine for spectral-spatial classification of hyperspectral images. Sensors, 17 (11). ISSN 1424-8220

2015

Qiao, Tong and Ren, Jinchang and Yang, Zhijing and Qing, Chunmei and Zabalza, Jaime and Marshall, Stephen (2015) Visible hyperspectral imaging for lamb quality prediction. Technisches Messen, 82 (12). pp. 643-652. ISSN 0171-8096

This list was generated on Mon May 10 00:40:56 2021 BST.