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
About this item
Full title
Author / Creator
Shah Muhammad, Syed , Fahad, Muhammad , Ahmad, Sarfraz , Naveed, Nasir , Aslam, Naeem , Jamil, Mutiullah , Rehmani, Ejaz Ahmad , Ahmad, Nazir , Akhtar Khan, Naeem , Razzaq, Abdul , Ul-Rehman, Muzammil , Shahid, Muhammad , Babar, Masroor Ellahi , Qadri, Syed Furqan , Ahmad, Farooq , Khan, Dost Muhammad , Qadri, Salman and Pervez, Muhammad Tariq
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
Formats
Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Subjects
More information
Scope and Contents
Contents
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 classify the subjective land cover data types accur...
Alternative Titles
Full title
A Comparative Study of Land Cover Classification by Using Multispectral and Texture Data
Authors, Artists and Contributors
Author / Creator
Fahad, Muhammad
Ahmad, Sarfraz
Naveed, Nasir
Aslam, Naeem
Jamil, Mutiullah
Rehmani, Ejaz Ahmad
Ahmad, Nazir
Akhtar Khan, Naeem
Razzaq, Abdul
Ul-Rehman, Muzammil
Shahid, Muhammad
Babar, Masroor Ellahi
Qadri, Syed Furqan
Ahmad, Farooq
Khan, Dost Muhammad
Qadri, Salman
Pervez, Muhammad Tariq
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4916327
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4916327
Other Identifiers
ISSN
2314-6133
E-ISSN
2314-6141
DOI
10.1155/2016/8797438
