Rooftop Surfaces and Types Identification Using VHR Satellite Images for Electrification Potentiel in Africa
Author:
Affiliation:
1. Carthage University,COSIM Laboratory, SUP’COM,Tunisia
2. Telecom ParisTech,Department of Image and Signal Processing,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283231.pdf?arnumber=10283231
Reference11 articles.
1. A Comparative Study of Deep Learning Approaches to Rooftop Detection in Aerial Images
2. A CNN-Based Approach for Automatic Building Detection and Recognition of Roof Types Using a Single Aerial Image
3. Continental-scale building detection from high resolution satellite imagery;sirko,2021
4. Self-Attention Generative Adversarial Networks for Times Series VHR Multispectral Image registration;chaabane;IGARSS 2021 Virtual Symposium,2021
5. VHR Satellite Image Time Series Analysis for Illegal Building Monitoring Using Multi-Dimensional Histogram Earth Mover’s Distance
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