A new approach for spatial-temporal multidimensional visualization of ionospheric electron density data based on virtual earth

doi:10.7523/j.issn.2095-6134.2019.06.013

Abstract

Abstract: A new method is proposed to address the challenging issues in spatial-temporal multi-dimensional visualization of ionospheric electron density. It is difficult to transmit multi-dimensional and multi-temporal ionospheric electron density data in a Web environment because the complexity and characteristics of the data are unable to meet the real-time visualization requirements, and the traditional surface rendering method can not be used to display the whole scene of the original data field. Based on the processing of ionospheric electron density source data, a video compression coding method is used to implement the efficient transmission of time series data. With the WebGL programmable rendering pipeline, the GPU-accelerated ray-casting-based volume rendering algorithm of ionospheric electron density is proposed. The adaptive step-size sampling method and the early light termination method are used to improve the visualization quality and volume rendering efficiency. Finally, based on the open source virtual earth platform Cesium, the multi-layer, dynamic, and interactive visualization of ionospheric electron density is successfully implemented. The feasibility and effectiveness of the proposed method are verified, and the proposed method provides technical support for scientific visualization and research of ionospheric electron density.

Key words: ionospheric electron density, video coding, GPU acceleration, ray casting, virtual earth

CLC Number:

P352.7

GUO Changshun, FAN Xiangtao, TAN Jian, ZHAN Qin, KANG Xujie. A new approach for spatial-temporal multidimensional visualization of ionospheric electron density data based on virtual earth[J]. , 2019, 36(6): 817-824.

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