Different Techniques for Hyperspectral Image Visualization

This study has been undertaken to investigate different methods of hyperspectral image visualization. Hyperspectral satellite sensors yield images of high spectral resolution that contain hundreds of spectral channels enclosing infrared and visible wavelengths. Hyperspectral data are well described by their spectral and spatial resolution. The spatial resolution measures the relationship between pixels in terms of their geometry while spectral resolution measures variations as a function of wavelength within image pixels. Hyperspectral imaging provides a very high spectral resolution. The operations on hyperspectral data are normally carried out by assuming it as a 3D data cube. But dealing with high dimensional data is complicated and very time-consuming. So the efficient dimension reduction technique is an important research area, as HSI offers a wealth of information. The visualization technique aims at building an efficient RGB image or a grayscale image that helps to drain the complete information easily. The paper aims at reviewing the different methods of HSI visualization in the literature.