Predicting Road Quality Using High Resolution Satellite Imagery: A Transfer Learning Approach

Published in PLOS ONE, affiliated with William & Mary.

DOI: 10.1371/journal.pone.0253370

Abstract

This research presents a novel approach to predicting road quality using high-resolution satellite imagery through transfer learning techniques. The study demonstrates the effectiveness of pre-trained deep learning models in extracting meaningful features from satellite data to assess and predict road conditions across diverse geographic regions.