A 3D-Panoramic fusion flood enhanced visualization method for VR.

Flood visualization plays a pivotal role in understanding and predicting flood disasters, as it aids in the development of effective disaster mitigation measures and emergency response strategies. However, traditional methods of flood computation and visualization often suffer from poor timeliness and subpar visualization effects, particularly in virtual reality (VR) scenarios. Panoramic data, inherently suitable for VR visualization, offers a low data volume attribute that significantly reduces the time cost of data processing. This allows for the real-time overlay of flood simulation results with the actual environment. We proposed a multi-scale flood simulation method which is subsequently integrated with panoramic images or videos through a dimensionality reduction process, enhancing visualization effects. We developed a prototype system to validate the proposed methodology, and the results demonstrated improved visualization outcomes, rendering efficiency, and user experience in VR panoramic flood simulations. • The CA-PBD method enhances the visualization of floods across multiple spatial scales. • The real-time fusion of 3D flood data with panoramic data improves the timeliness. • User interaction with panoramic videos or images represents a new approach to disaster perception. [ABSTRACT FROM AUTHOR]