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BioMed Research International
Volume 2016 (2016), Article ID 8797438, 12 pages
http://dx.doi.org/10.1155/2016/8797438
Research Article

A Comparative Study of Land Cover Classification by Using Multispectral and Texture Data

1Department of CS & IT, The Islamia University of Bahawalpur, Punjab 63100, Pakistan
2Department of Computer Sciences, CIIT Lahore, Punjab 54000, Pakistan
3Key Laboratory of Photo-Electronic Imaging Technology and System, School of Computer Science, Beijing Institute of Technology (BIT), Beijing 100081, China
4Department of Bioinformatics and Computational Biology, Virtual University of Pakistan, Lahore, Punjab 54000, Pakistan
5Department of CS, NFC IET, Multan, Punjab 60000, Pakistan
6Department of CS, Virtual University of Pakistan, Lahore, Punjab 54000, Pakistan
7Faculty of Information Technology, University of Central Punjab (UCP), Lahore 54000, Pakistan

Received 26 November 2015; Accepted 28 April 2016

Academic Editor: John P. Geisler

Copyright © 2016 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, Farooq Ahmad, et al., “A Comparative Study of Land Cover Classification by Using Multispectral and Texture Data,” BioMed Research International, vol. 2016, Article ID 8797438, 12 pages, 2016. doi:10.1155/2016/8797438