Abstract:The traditional emergency mapping method in natural disaster scenarios is based on UAV photogrammetry. The production of mapping results requires a large amount of internal data processing work. It has a certain lag in the acquisition of the disaster site situation, and is unable to locate the specific location of the disasters in real time and determine the scope of the disaster. Based on photogrammetry and SLAM theory, the fusion of UAV video images and 3D scenes have been realized, and the video fusion effecthas been optimized by using linear interpolation means. A UAV real-time video fusion system has been established based. By constructing a forest fire prevention thematic scene and developing practical functions, such as geometric measurement, forest hill fire point localization and video playback, it can provide a real time and reliable mapping geographic information support for emergency mapping and rescue and disaster relief scenarios.
