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Classification Simulation of RazakSAT Satellite

This study presents simulation of land cover classification for RazakSAT satellite. The simulation makes use of the spectral capability of Landsat 5 TM satellite that has overlapping bands with RazakSAT. The classification is performed using Maximum Likelihood (ML), a supervised classification metho...

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Bibliographic Details
Main Author: Asmala, A.
Format: Conference or Workshop Item
Language:English
Published: UniMaP 2012
Subjects:
QA75 Electronic computers. Computer science
QA Mathematics
Online Access:http://eprints.utem.edu.my/id/eprint/6446/1/ICT_06_published.pdf
http://eprints.utem.edu.my/id/eprint/6446/
http://mucet2012.unimap.edu.my/
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spelling my.utem.eprints.64462015-05-28T03:42:45Z http://eprints.utem.edu.my/id/eprint/6446/ Classification Simulation of RazakSAT Satellite Asmala, A. QA75 Electronic computers. Computer science QA Mathematics This study presents simulation of land cover classification for RazakSAT satellite. The simulation makes use of the spectral capability of Landsat 5 TM satellite that has overlapping bands with RazakSAT. The classification is performed using Maximum Likelihood (ML), a supervised classification method that is based on the Bayes theorem. ML makes use of a discriminant function to assign pixel to the class with the highest likelihood. Class mean vector and covariance matrix are the key inputs to the function and are estimated from the training pixels of a particular class. The accuracy of the classification for the simulated RazakSAT data is accessed by means of a confusion matrix. The results show that RazakSAT tends to have lower overall and individual class accuracies than Landsat mainly due to the unavailability of mid-infrared bands that hinders separation between different plant types. UniMaP 2012-11-20 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/6446/1/ICT_06_published.pdf Asmala, A. (2012) Classification Simulation of RazakSAT Satellite. In: MUCET 2012, University Malaysia Perlis. http://mucet2012.unimap.edu.my/
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA Mathematics
spellingShingle QA75 Electronic computers. Computer science
QA Mathematics
Asmala, A.
Classification Simulation of RazakSAT Satellite
description This study presents simulation of land cover classification for RazakSAT satellite. The simulation makes use of the spectral capability of Landsat 5 TM satellite that has overlapping bands with RazakSAT. The classification is performed using Maximum Likelihood (ML), a supervised classification method that is based on the Bayes theorem. ML makes use of a discriminant function to assign pixel to the class with the highest likelihood. Class mean vector and covariance matrix are the key inputs to the function and are estimated from the training pixels of a particular class. The accuracy of the classification for the simulated RazakSAT data is accessed by means of a confusion matrix. The results show that RazakSAT tends to have lower overall and individual class accuracies than Landsat mainly due to the unavailability of mid-infrared bands that hinders separation between different plant types.
format Conference or Workshop Item
author Asmala, A.
author_facet Asmala, A.
author_sort Asmala, A.
title Classification Simulation of RazakSAT Satellite
title_short Classification Simulation of RazakSAT Satellite
title_full Classification Simulation of RazakSAT Satellite
title_fullStr Classification Simulation of RazakSAT Satellite
title_full_unstemmed Classification Simulation of RazakSAT Satellite
title_sort classification simulation of razaksat satellite
publisher UniMaP
publishDate 2012
url http://eprints.utem.edu.my/id/eprint/6446/1/ICT_06_published.pdf
http://eprints.utem.edu.my/id/eprint/6446/
http://mucet2012.unimap.edu.my/
_version_ 1665905309592322048
score 13.211869

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