Pavement Surface Cracks Detection and Assessment Based on Hyper-spatial Resolution Natural Color Digital Aerial Photography Webcast
HxGN LIVE 2015 Breakout Session Presentation Recording
One remarkable student, Su Zhang, won the coveted 2015 Hexagon Geospatial Education Award. He and his professor, Chris Lippitt, presented their research at HxGN LIVE 2015 in Las Vegas.
This forward-thinking study explored the utility of hyper-spatial resolution (3-millimeter) natural color digital aerial imagery acquired from a low-cost unmanned remote sensing system, in this case a tethered weather balloon, to permit characterization of detailed flexible pavement (i.e. asphalt concrete) surface distress conditions with the help of ERDAS IMAGINE. This type of pavement was selected for this research because it is the most widely used material across the United States. Results indicate great potential for the application ERDAS IMAGINE in hyper-spatial resolution multispectral aerial image processing and analysis.