Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data

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Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data

Urbanization is commonly accepted as an important contributor to the growth of man-made structures and as a rapid convertor of natural environments to impervious surfaces. Roofs are one class of impervious surface whose materials can highly influence the quality of urban surface water. In this study...

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Bibliographic Details
Main Authors:	Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Ahmad, Noordin
Format:	Article
Language:	English
Published:	Taylor & Francis 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/37983/ http://psasir.upm.edu.my/id/eprint/37983/1/Improving%20detailed%20rule-based%20feature%20extraction%20of%20urban%20areas%20from%20WorldView-2%20image%20and%20lidar%20data.pdf

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