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Mehdi Mansour | Semantic Scholar

Impervious Surface Prediction in Marrakech City using Artificial Neural Network

The experimental results show that the deep learning technique has been implemented to investigate the extraction of impervious surfaces in Marrakesh city, based on Landsat images and it is shown that this method is efficient and precise for mapping the impervious surface of Marrakeesh city.

THE USE OF DEEP LEARNING IN REMOTE SENSING FOR MAPPING IMPERVIOUS SURFACE: A REVIEW PAPER

The goal of this research is to explore at and summarize the deep learning approaches used in urbanization, and to provide a comprehensive overview and comprehension of them, as well as their pros and downsides.

Using of Open Access remote sensing Data in Google earth engine platform for mapping built-up area in Marrakech City, Morocco

This study aims to provide a more effective tool for mapping built-up and non-built areas in the city of Marrakesh in Morocco and compare these results with Atlas of urban expansion project and showed that RF is more powerful than SVM, and CART for mapping urban areas.