Articial neural network and machine learning based methods for population estimation of rohingya refugees: Comparing data-driven and satellite image-driven approaches

This study aims to explore the approaches of population estimation of Rohingya migrants using remote sensing and machine learning. Two di®erent approaches of population estimation viz., (i) data-driven approach and (ii) satellite image-driven approach have been explored. A total of 11 machine learning models including Arti¯cial Neural Network (ANN) are applied for both approaches.