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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| Format: | Article |
| Language: | English English |
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SPIE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/29469/ http://psasir.upm.edu.my/id/eprint/29469/1/Comparison%20between%20pixel.pdf |
| _version_ | 1848846407455211520 |
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| author | Memarian, Hadi Balasundram, Siva Kumar Khosla, Raj |
| author_facet | Memarian, Hadi Balasundram, Siva Kumar Khosla, Raj |
| author_sort | Memarian, Hadi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T09:02:13Z |
| format | Article |
| id | upm-29469 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T09:02:13Z |
| publishDate | 2013 |
| publisher | SPIE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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. |
| title | 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_short | 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. |
| url | http://psasir.upm.edu.my/id/eprint/29469/ http://psasir.upm.edu.my/id/eprint/29469/ http://psasir.upm.edu.my/id/eprint/29469/ http://psasir.upm.edu.my/id/eprint/29469/1/Comparison%20between%20pixel.pdf |