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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Main Author: Asmala, A.
Format: Conference or Workshop Item
Language:en
Published: UniMaP 2012
Subjects:
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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author Asmala, A.
author_facet Asmala, A.
author_sort Asmala, A.
building UTEM Library
collection Institutional Repository
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
continent Asia
country Malaysia
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
id my.utem.eprints-6446
institution Universiti Teknikal Malaysia Melaka
language en
publishDate 2012
publisher UniMaP
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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/
spellingShingle QA75 Electronic computers. Computer science
QA Mathematics
Asmala, A.
Classification Simulation of RazakSAT Satellite
title 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_short Classification Simulation of RazakSAT Satellite
title_sort classification simulation of razaksat satellite
topic QA75 Electronic computers. Computer science
QA Mathematics
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/
url_provider http://eprints.utem.edu.my/