(testing available in conjunction with STAR-Tides/Camp Roberts Field Simulation)
There is a strong need for near real-time, geo-referenced imagery and geospatial information in the aftermath of natural disasters and humanitarian crises. One means of collection is to use Unmanned Aerial Systems (UAS). In recent years, the development of next generation UAV platforms has become a vibrant research field, particularly mini- and micro-UAVs. It is also expected that civilian and commercial UAS will become an indispensable data acquisition platform for a multitude of geomatic applications as soon as the technology matures and a legal framework for its deployment has been established.
A major hurdle preventing the widespread deployment of mini- and micro-UAVs for mapping purposes is their inability to provide geo-referenced high resolution imagery in near real time.
Deployment of UAV’s over/around disaster or crisis areas for data capture, including but not limited to aerial imagery would lead to collection of unprocessed imagery/data – this app would live either on a field system or in the cloud. Data would be processed and made available in various system-friendly formats (kml, geotiff, other).
End users are likely to be:
An open source system for the efficient registration of numerous frames, likely through feature detection, bundle-block adjustment, or some combination there-of, will vastly improve the utility of UAV acquired image sets and make a significant step toward the operational deployment of mini- and micro-UAV systems for mapping purposes.