Citation
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).
Abstract
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.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.1109/ICISA.2014.6847378 |
| Publisher: | IEEE (IEEE Xplore) |
| Keywords: | Data mining; Object-based image analysis; Intra-urban; Roofing materials |
| Depositing User: | Nursyafinaz Mohd Noh |
| Date Deposited: | 19 Aug 2015 09:09 |
| Last Modified: | 19 Aug 2015 09:09 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICISA.2014.6847378 |
| URI: | http://psasir.upm.edu.my/id/eprint/39910 |
| Statistic Details: | View Download Statistic |
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