Mapping urban impervious surfaces from an airborne hyperspectral imagery using the object-oriented classification approach

Mapping urban impervious surfaces from an airborne hyperspectral imagery using the object-oriented classification approach

The objective of this research is to explore the capabilities of the hyperspectral imagery in mapping the urban impervious objects and identifying the surface materials using an object-oriented approach. The application is conducted to Toulouse city (France) within the HYEP research project in charg...

Full description

Bibliographic Details
Main Authors: Aguejdad Rahim, Serradj Aziz, Weber Christiane
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201712009003

Similar Items

Similar Items