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Journal of Sensors
Volume 2017, Article ID 3515418, 8 pages
https://doi.org/10.1155/2017/3515418
Research Article

Multisource Data Fusion Framework for Land Use/Land Cover Classification Using Machine Vision

1Department of Computer Science & IT, The Islamia University of Bahawalpur, Punjab 63100, Pakistan
2Key Laboratory of Photo-Electronic Imaging Technology and System, School of Computer Science, Beijing Institute of Technology (BIT), Beijing 100081, China
3Department of Computer Science, NFC IET, Multan, Punjab 60000, Pakistan
4Department of Computer Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan
5Department of Computer Science, Virtual University of Pakistan, Lahore, Punjab 54000, Pakistan

Correspondence should be addressed to Salman Qadri; kp.ude.bui@irdaq.namlas

Received 21 April 2017; Revised 25 July 2017; Accepted 8 August 2017; Published 11 September 2017

Academic Editor: Julio Rodriguez-Quiñonez

Copyright © 2017 Salman Qadri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Salman Qadri, Dost Muhammad Khan, Syed Furqan Qadri, et al., “Multisource Data Fusion Framework for Land Use/Land Cover Classification Using Machine Vision,” Journal of Sensors, vol. 2017, Article ID 3515418, 8 pages, 2017. https://doi.org/10.1155/2017/3515418.