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Machine learning,Deep learning,Scene classification,Probability based,Complex sample design,Clustering,Remote sensing,GIS
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https://doi.org/10.1186/s12942-018-0132-1
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International Journal of Health Geographics, https://doi.org/10.1186/s12942-018-0132-1
Machine learning
Deep learning
Scene classification
Probability based
Complex sample design
Clustering
Remote sensing
GIS
Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery
Robert F. Chew
Safaa Amer
Kasey Jones
Jennifer Unangst
James Cajka
Justine Allpress
Mark Bruhn
10.1186/s12942-018-0132-1
2010-04-23
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