The present invention relates to the technical field of WebGL
radar volume rendering, and discloses a WebGL-based
radar volume rendering performance
optimization system. The method includes a texture acquisition and reconstruction module, a dynamic
decomposition and clustering module, a metric calculation module, a strategy determination module, and a compression and rendering module. After structuring and reconstructing the original
radar volume data, the method uses energy
diffusion simulation to achieve dynamic
hierarchical decomposition, and then performs adaptive clustering according to the
texture feature correlation. By calculating the texture change intensity and
spatial consistency metrics of each rendering subset, the global rendering load is evaluated, and then an adaptive
texture compression strategy is determined. Finally, the structured texture field is lossily compressed and sent to the WebGL pipeline for rendering. This method enables the hierarchical structure to automatically conform to the data features and organizes the data according to the feature consistency, realizing the adaptive allocation and efficient compression of rendering resources, and improving the rendering efficiency and drawing quality in the
Web environment.