Ocean environment visualization method

Abstract

The invention discloses an ocean environment visualization method. Based on the combination of the ocean environment three-dimensional scene and a parallel coordinate method, the method comprises the concrete steps of modeling the three-dimensional scene and the parallel coordinates of ocean environment; secondly establishing a multi-dimensional element integrated rendering and interactive extraction algorithm based on the three-dimensional scene and the parallel coordinates of the ocean environment; thirdly expressing the multi-dimensional ocean environment data linked features and cluster features. The method can be used for knowledge discovery of ocean phenomena such as storm tides, red tides, ENSO circulation and the like, and provides a new idea for understanding, rebuilding and discovering ocean phenomena.

Description

technical field [0001] The invention relates to a visualization method of multidimensional data, in particular to a visualization method of multidimensional data about marine environment. Background technique [0002] The ocean is a typical multi-dimensional dynamic environment, including time dimension, space dimension, and marine environmental element dimension. The marine environment element dimension includes: sea and air elements, specifically such as clouds, rain, fog, air pressure, temperature, etc.; sea surface elements, specifically such as wind, waves, currents, tides, storm surges, etc.; marine water body elements, specifically such as Temperature, salinity, density, internal wave, circulation, climatic layer, etc.; and seabed elements, such as geology, landform, magnetic field and other environmental elements. [0003] Disasters such as storm surges, red tides, and sea ice on the mesotemporal and spatial scales, oceanic and atmospheric carbon dioxide fluxes on t...

AI Technical Summary

Problems solved by technology

[0009] Representing multi-dimensional data based on 3D scenes is intuitive and easy to understand, but the existing problems are: ① most of the existing research is for the purpose of data display, and for specific applications, there is a lack of systematic research on multi-dimensional visualization methods; The dimensionality of elements that can be expressed is very limited, and it is difficult to express random, space-time differentiated multi-dimensional attribute data and their interrelationships; ③The essence of the above research is still the visualization of data, it is difficult to perform multi-dimensional visual analysis, and it is difficult to find the hidden features of multi-dimensional elements. Containing relationships and patterns

[0011] The method based on parallel coordinates is usually used in the field of information science and can represent ultra-high-dimensional data. The biggest disadvantage is that it cannot represent the location information of spatial data, so it is not visually intuitive enough, and requires professional understanding and analysis capabilities for data.

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