Development of transferable rule-sets for urban areas using QuickBird satellite imagery

Citation

Tathiri, Anahita and Mohd Shafri, Helmi Zulhaidi and Hamedianfar, Alireza (2014) Development of transferable rule-sets for urban areas using QuickBird satellite imagery. In: 2014 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES 2014), 13-14 Nov. 2014, Sheraton Mustika Hotel, Yogyakarta, Indonesia. (pp. 229-233).

Abstract

Although rule-based object-based classification can often perform better than the supervised approaches, its attribute selection is very time consuming and hardly transferable between different urban areas. The purpose of this study is to identify transferable rule-sets for different areas from QuickBird satellite imagery for urban areas consisting heterogeneous man-made and natural features. Object-based classification was used in this research, and a mathematical method was proposed for rule transferability for different urban areas.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ICARES.2014.7024390
Publisher:	IEEE
Keywords:	Object-based classification; Rule-based classification; Transferability; Urban areas
Depositing User:	Nurul Ainie Mokhtar
Date Deposited:	03 Aug 2016 03:37
Last Modified:	03 Aug 2016 03:37
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICARES.2014.7024390
URI:	http://psasir.upm.edu.my/id/eprint/29624
Statistic Details:	View Download Statistic

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