Papers

Comparing Spatial and Spatio-Temporal Paradigms to Estimate the Evolution of Socio-Economical Indicators from Satellite Images

Published in IGARSS, 2023

We studied if a deep learning model could benefit from spatio-temporal data to predict the evolution of Nighttime Light, a classic socio-economic proxy.

Recommended citation: Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol. Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images. In IGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium (p. 5790-5793). IEEE. Link.

Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images

Published in ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science vol 12667, 2020

We set up a comparison ef existing methods for poverty estimation, and compare them in Malawi.

Recommended citation: Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol. Assessment of CNN-based methods for poverty estimation from satellite images. In Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10-15, 2021, Proceedings, Part VII (p. 550-565). Springer International Publishing. Link.