z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom