z-logo
open-access-imgOpen Access
Contribution to Object Extraction in Cartography : A Novel Deep Learning-Based Solution to Recognise, Segment and Post-Process the Road Transport Network as a Continuous Geospatial Element in High-Resolution Aerial Orthoimagery
Author(s) -
Calimanut-Ionut Cira
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.20868/upm.thesis.70152
Subject(s) - orthophoto , geospatial analysis , deep learning , cartography , geography , object (grammar) , artificial intelligence , high resolution , computer science , process (computing) , remote sensing , operating system

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