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Mapping Missing Population in Rural India: A Deep Learning Approach with
  Satellite Imagery

Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery

4 May 2019
Wenjie Hu
Jay Patel
Zoe-Alanah Robert
P. Novosad
S. Asher
Zhongyi Tang
Marshall Burke
David B. Lobell
Stefano Ermon
ArXivPDFHTML

Papers citing "Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery"

4 / 4 papers shown
Title
Mapping Urban Population Growth from Sentinel-2 MSI and Census Data
  Using Deep Learning: A Case Study in Kigali, Rwanda
Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda
Sebastian Hafner
S. Georganos
T. Mugiraneza
Y. Ban
14
2
0
15 Mar 2023
Tracking the industrial growth of modern China with high-resolution
  panchromatic imagery: A sequential convolutional approach
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach
Ethan Brewer
Zhonghui Lv
Daniel M. Runfola
16
2
0
23 Jan 2023
Sensing population distribution from satellite imagery via deep
  learning: model selection, neighboring effect, and systematic biases
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
Xiao Huang
Di Zhu
Fan Zhang
Tao Liu
Xiao Li
Lei Zou
14
23
0
03 Mar 2021
Estimating Displaced Populations from Overhead
Estimating Displaced Populations from Overhead
Armin Hadzic
Gordon A. Christie
Jeffrey Freeman
Amber Dismer
Stevan Bullard
Ashley Greiner
Nathan Jacobs
R. Mukherjee
17
4
0
25 Jun 2020
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