A Visualization Method for Isosurface of Hyperspectral Data Combining the Spatial and Spectral Dimensions

Abstract

Visualization has been spaciously used in various fields for assisting data analysis and so on. In this paper, we focus on the visualization of hyperspectral data and analyze the characteristics of them firstly. Then, an interactive visualization framework for spatial and spectral dimensions of hyperspectral data is studied by dimensionality reduction. For the sake of displaying the spatial distribution and the electromagnetic energy scattered in the spectral domain, we proposed a method for visualizing the isosurfaces of hyperspectral data which combining the information in spatial and spectral dimensions. In this method, by using the ray casting algorithm combining with the equivalent sampling, the hyperspectral data of a specified value are visualized with specified color. The results in the experiment section show that the proposed method displays the distribution of hyperspectral data with different values in an intuitional way in real-time. Furthermore, the data users can be benefited in noise analysis and hyperspectral classification by visualization.