Object-based classification of QuickBird image and low point density LIDAR for tropical trees and shrubs mapping

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Object-based classification of QuickBird image and low point density LIDAR for tropical trees and shrubs mapping

This paper assessed the performance of object-based supervised support vector machine (SVM) and rule-based techniques in classifying tropical vegetated floodplain using 0.6m QuickBird image and LIDAR dataset of 1.4 points per square meter (PPSM). This is particularly significant in hydraulic modelli...

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Bibliographic Details
Main Authors:	Yusuf, Badronnisa, Mohd Shafri, Helmi Zulhaidi, Mohamed, Thamer Ahmed, Zahidi, Izni, Hamedianfar, Alireza
Format:	Article
Language:	English
Published:	Associazione Italiana di Telerilevamento 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/45638/ http://psasir.upm.edu.my/id/eprint/45638/1/LIDAR.pdf

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