Litcius/Paper detail

A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases

Chun Yang, Franz Rottensteiner, Christian Heipke

2021ISPRS Journal of Photogrammetry and Remote Sensing24 citationsDOI

Topics & Concepts

Geospatial analysisComputer scienceLand coverConvolutional neural networkObject (grammar)Artificial intelligenceData miningSpatial databaseDatabaseLand usePattern recognition (psychology)Spatial analysisRemote sensingGeographyCivil engineeringEngineeringRemote-Sensing Image ClassificationAutomated Road and Building ExtractionVideo Surveillance and Tracking Methods
A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases | Litcius