Estimation of Poverty Based on Remote Sensing Image and Convolutional Neural Network

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ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"Estimation of Poverty Based on Remote Sensing Image and Convolutional Neural Network"
written by Peng Wu, Yumin Tan,
published by Advances in Remote Sensing, Vol.8 No.4, 2019

has been cited by the following article(s):

[1]	Methods, data sources and applications of the Artificial Intelligence in the Energy Poverty context: A review
	Vargas, A Ledezma-Espino… - Energy and …, 2022

[2]	A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
	Patterns, 2022

[3]	Progress of nighttime light applications within the google earth engine cloud platform
	Geocarto International, 2022

[4]	Using Convolutional Neural Networks on Satellite Images to Predict Poverty
	2021

[5]	Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis
	2020

[6]	ИНТЕЛЛЕКТУАЛЬНЫЙ АНАЛИЗ ДАННЫХ В ОБЩЕСТВЕННО-ГЕОГРАФИЧЕСКИХ ИССЛЕДОВАНИЯХ


[7]	ББК 65.04 Б68

[1]	Methods, data sources and applications of the Artificial Intelligence in the Energy Poverty context: A review Energy and Buildings, 2022 DOI:10.1016/j.enbuild.2022.112233

[2]	Progress of nighttime light applications within the google earth engine cloud platform Geocarto International, 2022 DOI:10.1080/10106049.2022.2120550

[3]	A review of explainable AI in the satellite data, deep machine learning, and human poverty domain Patterns, 2022 DOI:10.1016/j.patter.2022.100600

[4]	A review of explainable AI in the satellite data, deep machine learning, and human poverty domain Patterns, 2022 DOI:10.1016/j.patter.2022.100600

[5]	Methods, data sources and applications of the Artificial Intelligence in the Energy Poverty context: A review Energy and Buildings, 2022 DOI:10.1016/j.enbuild.2022.112233

[6]	Using Convolutional Neural Networks on Satellite Images to Predict Poverty 2021 12th International Conference on Information and Communication Systems (ICICS), 2021 DOI:10.1109/ICICS52457.2021.9464598

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