An AdaBoost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite images
Author(s) -
Cansu Gonulalan
Publication year - 2010
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20000915
Subject(s) - remote sensing , adaboost , computer science , ranging , satellite , vegetation (pathology) , object detection , satellite imagery , homeland security , contextual image classification , artificial intelligence , geography , computer vision , pattern recognition (psychology) , image (mathematics) , engineering , telecommunications , medicine , archaeology , pathology , aerospace engineering , classifier (uml) , terrorism
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