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

• 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/45638/1/LIDAR.pdf; http://psasir.upm.edu.my/id/eprint/45638/; https://www.researchgate.net/publication/283420893_Object-based_classification_of_QuickBird_image_and_low_point_density_LIDAR_for_tropical_trees_and_shrubs_mapping/link/56379cf308ae30cbeff4d2a3/download
• Institution: Universiti Putra Malaysia

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...