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

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

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 Quic...

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Bibliographic Details
Main Authors:	Tathiri, Anahita, Mohd Shafri, Helmi Zulhaidi, Hamedianfar, Alireza
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/29624/ http://psasir.upm.edu.my/id/eprint/29624/1/Development%20of%20transferable%20rule-sets%20for%20urban%20areas%20using%20QuickBird%20satellite%20imagery.pdf

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