Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery.
Based on the Système Pour l’Observation de la Terre-5 imagery, two main techniques of classifying land-use categories in a tropical landscape are compared using two supervised algorithms: maximum likelihood classifier (MLC) and K-nearest neighbor object-based classifier. Nine combinations of scale l...
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my.upm.eprints.294692015-10-08T00:21:08Z http://psasir.upm.edu.my/id/eprint/29469/ Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery. Memarian, Hadi Balasundram, Siva Kumar Khosla, Raj Based on the Système Pour l’Observation de la Terre-5 imagery, two main techniques of classifying land-use categories in a tropical landscape are compared using two supervised algorithms: maximum likelihood classifier (MLC) and K-nearest neighbor object-based classifier. Nine combinations of scale level (SL10, SL30, and SL50) and the nearest neighbor (NN3, NN5, and NN7) are investigated in the object-based classification. Accuracy assessment is performed using two main disagreement components, i.e., quantity disagreement and allocation disagreement. The MLC results in a higher total disagreement in total landscape as compared with object-based image classification. The SL30-NN5 object-based classifier reduces allocation error by 250% as compared with the MLC. Therefore, this classifier shows a higher performance in land-use classification of the Langat basin. SPIE 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/29469/1/Comparison%20between%20pixel.pdf Memarian, Hadi and Balasundram, Siva Kumar and Khosla, Raj (2013) Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery. Journal of Applied Remote Sensing, 7 ( 1). art. no. 073512. ISSN 1931-3195 http://remotesensing.spiedigitallibrary.org/issue.aspx?journalid=96&issueid=926148 10.1117/1.JRS.7.073512 English |
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Based on the Système Pour l’Observation de la Terre-5 imagery, two main techniques of classifying land-use categories in a tropical landscape are compared using two supervised algorithms: maximum likelihood classifier (MLC) and K-nearest neighbor object-based classifier. Nine combinations of scale level (SL10, SL30, and SL50) and the nearest neighbor (NN3, NN5, and NN7) are investigated in the object-based classification. Accuracy assessment is performed using two main disagreement components, i.e., quantity disagreement and allocation disagreement. The MLC results in a higher total disagreement in total landscape as compared with object-based image classification. The SL30-NN5 object-based classifier reduces allocation error by 250% as compared with the MLC. Therefore, this classifier shows a higher performance in land-use classification of the Langat basin. |
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Article |
author |
Memarian, Hadi Balasundram, Siva Kumar Khosla, Raj |
spellingShingle |
Memarian, Hadi Balasundram, Siva Kumar Khosla, Raj Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery. |
author_facet |
Memarian, Hadi Balasundram, Siva Kumar Khosla, Raj |
author_sort |
Memarian, Hadi |
title |
Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery. |
title_short |
Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery. |
title_full |
Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery. |
title_fullStr |
Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery. |
title_full_unstemmed |
Comparison between pixel- and object-based image classification of a tropical landscape using Système Pour l’Observation de la Terre-5 imagery. |
title_sort |
comparison between pixel- and object-based image classification of a tropical landscape using système pour l’observation de la terre-5 imagery. |
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SPIE |
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2013 |
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http://psasir.upm.edu.my/id/eprint/29469/1/Comparison%20between%20pixel.pdf http://psasir.upm.edu.my/id/eprint/29469/ http://remotesensing.spiedigitallibrary.org/issue.aspx?journalid=96&issueid=926148 |
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