• Corpus ID: 221397229

Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions

@article{McCullough2020UtilizingSI,
  title={Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions},
  author={Kyle McCullough and Andrew Feng and Meida Chen and Ryan McAlinden},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.00185}
}
In the globalized economic world, it has become important to understand the purpose behind infrastructural and construction initiatives occurring within developing regions of the earth. This is critical when the financing for such projects must be coming from external sources, as is occurring throughout major portions of the African continent. When it comes to imagery analysis to research these regions, ground and aerial coverage is either non-existent or not commonly acquired. However, imagery… 

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