Artificial Neural Network and Machine Learning Based Methods for Population Estimation of Rohingya Refugees: Comparing Data-Driven and Satellite Image-Driven Approaches

Artificial Neural Network and Machine Learning Based Methods for Population Estimation of Rohingya Refugees: Comparing Data-Driven and Satellite Image-Driven Approaches

Manual field-based population census data collection method is slow and expensive, especially for refugee management situations where more frequent censuses are necessary. This study aims to explore the approaches of population estimation of Rohingya migrants using remote sensing and machine learnin...

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Bibliographic Details
Main Authors: Nahian Ahmed, Nazmul Alam Diptu, M. Sakil Khan Shadhin, M. Abrar Fahim Jaki, M. Ferdous Hasan, M. Naimul Islam, Rashedur M. Rahman
Format: Article
Language:English
Published: World Scientific Publishing 2019-11-01
Series:Vietnam Journal of Computer Science
Subjects:
artificial neural network
machine learning
population estimation
rohingya
satellite image
remote sensing
Online Access:http://www.worldscientific.com/doi/pdf/10.1142/S2196888819500246

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