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Open Access research that solves space system engineering problems...

Strathprints makes available scholarly Open Access content by scholars in the Department of Mechanical & Aerospace Engineering (MAE), based within the Faculty of Engineering.

Research at MAE includes research into space systems engineering and spaceflight mechanics. This spans a wide variety of topics such as nano-satellites, self-assembling spacecraft, orbital dynamics, trajectory design and optimization, autonomous navigation and planning, all under the auspices of the Aerospace Centre of Excellence - and with almost all research outputs openly available through Strathprints.

Explore the Open Access research of the Aerospace Centre of Excellence or the wider MAE department. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018 | 2010
Number of items: 5.

2019

Polak, Adam and Coutts, Fraser Kenneth and Murray, Paul and Marshall, Stephen (2019) Use of hyperspectral imaging for cake moisture and hardness prediction. IET Image Processing, 13 (7). pp. 1152-1160. ISSN 1751-9659

Qing, Chunmei and Ruan, Jiawei and Xu, Xiangmin and Ren, Jinchang and Zabalza, Jaime (2019) Spatial-spectral classification of hyperspectral images : a deep learning framework with Markov random fields based modeling. IET Image Processing, 13 (2). pp. 235-245. ISSN 1751-9659

2018

Chen, Weizhao and Yang, Zhijing and Cao, Faxian and Yan, Yijun and Wang, Meilin and Qing, Chunmei and Cheng, Yongqiang (2018) Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Processing. ISSN 1751-9659

Zabalza, Jaime and Zhang, Aizhu and Ma, Ping and Liu, Sihan and Sun, Genyun and Huang, Hui and Wang, Zhenjie and Lin, Chengyan (2018) Hyperspectral band selection using crossover based gravitational search algorithm. IET Image Processing. ISSN 1751-9659

2010

Ren, Jinchang and Jiang, J. and Wang, D. and Ipson, S. (2010) Fusion of intensity and inter-component chromatic difference for effective and robust colour edge detection. IET Image Processing, 4 (4). pp. 294-301.

This list was generated on Sat Dec 14 23:47:51 2019 GMT.