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

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

The main objective of this study is to find out the importance of machine vision approach for the classification of five types of land cover data such as bare land, desert rangeland, green pasture, fertile cultivated land, and Sutlej river land. A novel spectra-statistical framework is designed to c...

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Bibliographic Details
Main Authors: Salman Qadri, Dost Muhammad Khan, Farooq Ahmad, Syed Furqan Qadri, Masroor Ellahi Babar, Muhammad Shahid, Muzammil Ul-Rehman, Abdul Razzaq, Syed Shah Muhammad, Muhammad Fahad, Sarfraz Ahmad, Muhammad Tariq Pervez, Nasir Naveed, Naeem Aslam, Mutiullah Jamil, Ejaz Ahmad Rehmani, Nazir Ahmad, Naeem Akhtar Khan
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2016/8797438

Internet

http://dx.doi.org/10.1155/2016/8797438

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