Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image

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...

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Main Authors: Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi
Format: Conference or Workshop Item
Published: IEEE (IEEE Xplore) 2014
Online Access:http://psasir.upm.edu.my/id/eprint/39910/
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Institution: Universiti Putra Malaysia
id my.upm.eprints.39910
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spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
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.
format Conference or Workshop Item
author Hamedianfar, Alireza
Mohd Shafri, Helmi Zulhaidi
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
author_facet Hamedianfar, Alireza
Mohd Shafri, Helmi Zulhaidi
author_sort Hamedianfar, Alireza
title 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_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_sort combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image
publisher IEEE (IEEE Xplore)
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/39910/
_version_ 1643832560937074688

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