Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image
Although object-based image analysis (OBIA) has been used for detailed classification of urban areas, its attribute selection and knowledge discovery have been time consuming and subjective to analysts' performance. In this study, Data Mining was performed using C4.5 algorithm to select the app...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE (IEEE Xplore)
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/39910/ |
| _version_ | 1848849276030943232 |
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| author | Hamedianfar, Alireza Mohd Shafri, Helmi Zulhaidi |
| author_facet | Hamedianfar, Alireza Mohd Shafri, Helmi Zulhaidi |
| author_sort | Hamedianfar, Alireza |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Although object-based image analysis (OBIA) has been used for detailed classification of urban areas, its attribute selection and knowledge discovery have been time consuming and subjective to analysts' performance. In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. This algorithm provides a decision tree output to represent the knowledge model, enabled a faster classification of intra-urban classes, and disabled the subjectivities which are related to the interaction of the analyst. The decision tree results were implemented in eCognition software to provide an effective and fast generation of semantic network in OBIA. |
| first_indexed | 2025-11-15T09:47:49Z |
| format | Conference or Workshop Item |
| id | upm-39910 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T09:47:49Z |
| publishDate | 2014 |
| publisher | IEEE (IEEE Xplore) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-399102015-08-19T09:09:08Z http://psasir.upm.edu.my/id/eprint/39910/ Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image Hamedianfar, Alireza Mohd Shafri, Helmi Zulhaidi Although object-based image analysis (OBIA) has been used for detailed classification of urban areas, its attribute selection and knowledge discovery have been time consuming and subjective to analysts' performance. In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. This algorithm provides a decision tree output to represent the knowledge model, enabled a faster classification of intra-urban classes, and disabled the subjectivities which are related to the interaction of the analyst. The decision tree results were implemented in eCognition software to provide an effective and fast generation of semantic network in OBIA. IEEE (IEEE Xplore) 2014 Conference or Workshop Item NonPeerReviewed Hamedianfar, Alireza and Mohd Shafri, Helmi Zulhaidi (2014) Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image. In: 2014 International Conference on Information Science and Applications (ICISA), 6-9 May 2014, Seoul, Korea. (pp. 1-3). 10.1109/ICISA.2014.6847378 |
| spellingShingle | Hamedianfar, Alireza Mohd Shafri, Helmi Zulhaidi Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image |
| title | Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image |
| title_full | Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image |
| title_fullStr | Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image |
| title_full_unstemmed | Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image |
| title_short | Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image |
| title_sort | combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image |
| url | http://psasir.upm.edu.my/id/eprint/39910/ http://psasir.upm.edu.my/id/eprint/39910/ |