Energy Resource Assessment

Project Summary

The team built a ground truth dataset comprising satellite images, building footprints, and building heights (LIDAR) of 40,000+ buildings, along with road annotations. This dataset can be used to train computer vision algorithms to determine a building’s volume from an image, and is significant contribution to the broader research community with applications in urban planning, civil emergency mitigation and human population estimation.

Themes and Categories
Year
2016

Project Results

Download the Executive Summary (PDF)

Faculty Sponsors

Project Managers

Participants

  • Benjamin Brigman, Columbia University Electrical and Computer Engineering
  • Sophia Park, Duke University Biomedical Engineering

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