A SHALLOW NEURAL NETWORK MODEL FOR URBAN LAND COVER CLASSIFICATION USING VHR SATELLITE IMAGE FEATURES

Recently, image classification techniques using neural networks have received considerable attention in sustainable urban development, since their applications have an extreme effect on building distribution, infrastructural networks, and water resource management. In this research, a back-propagati...

Full description

Bibliographic Details
Main Authors: M. Fawzy, G. Szabó, A. Barsi
Format: Article
Language:English
Published: Copernicus Publications 2023-12-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-annals.copernicus.org/articles/X-1-W1-2023/57/2023/isprs-annals-X-1-W1-2023-57-2023.pdf