Population Mapping
3 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
One-shot Transfer Learning for Population Mapping
Thus, obtaining fine-grained population distribution from coarse-grained distribution becomes an important problem.
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata
Fine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations.
Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda
Since Post-Classification Comparison (PCC) methods for change detection are known to propagate the error of the individual maps, we propose an end-to-end population growth mapping method.