An Exploration of Spatial-Spectral Information using Hyperspectral Image Enhancement

Spectral imaging widens the capabilities about studying qualitative and quantitative features. Spectral imaging is a new advantageous tool that merges two scientific methodologies, namely spectroscopy and imaging. It is important to measure the spectrum at each point of the image that entails combining dispersive optics with the more common imaging tools, and introduces constrains as well. The hyperspectral imagery of the Mars dataset contains abundant spatial and spectral information. To identify the mineral composition on the surface of the Mars hyperspectral imagery by performing the enhancement, end-member detection or extraction and unmixing. Spectral imaging analysis is very much applicable in analyzing the complex data structure which cannot be analyzed visually. This paper present hyperspectral image enhancement techniques by employing the different filters/kernels in-order to explore the embedded spatial-spectral information. In this paper few of the algorithms and examples are discussed with prominence on the practice for different experimental manners (fluorescence and bright field). Spectral imaging analysis is done with considering hyperspectral imagery using Environmental(ENVI) tool. On the other hand, several applications have already shown its potential. The experiment produce the promising results when the Mars image is enhanced by using the Median and Gaussian filters. Further the mineral composition identification is to be performed from the enhanced Mars surface hyperspectral imagery.