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Open Access research that is tackling the climate emergency...

Addressing the energy challenge confronting society is a strategic research theme for Strathclyde. Researchers from across the institution, spanning multiple disciplines, are therefore working together to understand ways of reducing the environmental impacts of energy use, improving energy efficiency, coping with declining fossil fuel supplies, managing an ageing energy infrastructure, and devising policy or economic levers to achieve higher penetration of renewable energy systems and technologies. Strathprints makes this scholarly research content available Open Access thereby ensuring results are available to everyone in order meet the global climate challenge.

Explore some of this Open Access research from the departments of Mechanical & Aerospace Engineering, Electronic & Electrical Engineering, Civil & Environmental Engineering, Naval Architecture, Ocean & Marine Engineering, Economics, Entrepreneurship and the School of Government & Public Policy.

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 2196-7113

This list was generated on Thu Feb 9 06:56:48 2023 GMT.