An Automated Real-time Image Georeferencing System

To provide rapid analysis for the ongoing status of emergency, the captured aerial images must be georeferenced to the same coordinate system as the existing spatial data in real-time. This study presents a development of an automated real-time image georeferencing which involves a novel image matching and simultaneous AT. We implemented a reliable fast-and-automated image matching based on the KLT tracker to extract tie points that are well distributed over images. We accelerated the KLT tracker by supplying the initial guessed tie points computed based on GPS/INS data and determined, in advance, a promising depth level for multi-resolution tracking. The experimental results show that the proposed image matching is 12% faster than the original KLT and achieves up to 98% accuracy on a real sequential aerial image. Due to its lightweight processing, the improved KLT tracker has high potential to incorporate with simultaneous AT to build a real-time image georeferencing system.