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Wavelets Based Simulation and Visualization Approach for Unmixing of Hyperspectral Data

This paper discusses the use of wavelet based simulation and visualization methods to unmix multi-component, intimate, and particulate mixtures. We describe a new approach to simulate the hyperspectral data based on an interpolating wavelet estimation. We choose a very constructive family of a wavelet basis, Duabechies wavelets, of order one and two to analyze the data. We used the discrete wavelet transform (DWT), which the basic tool needed for studying time series via wavelets and plays a role analogue in the theory of spectral analysis. The present paper present parameters and algorithms that successfully simulate the binary system of Na2SO4-MgSO4. This system was selected because of it is importance to us on analogue for Mars salt and salt regolith.