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International Journal of Earth & Environmental Sciences Volume 3 (2018), Article ID 3:IJEES-152, 8 pages
https://doi.org/10.15344/2456-351X/2018/152
Research Article
Wavelets Based Simulation and Visualization Approach for Unmixing of Hyperspectral Data

Mutaz Mohammad1, Fares M. Howari1,*, Gheorge Acbas1, Yousef Nazzal1 and Fatima AlAydaroos2

1College of Natural and Health Sciences, Zayed University, P.O. Box 144534 Abu Dhabi, UAE
2UAE Space Agency, P.O. Box 7133 Abu Dhabi, UAE
Dr. Fares M. Howari, College of Natural and Health Sciences, Zayed University, P.O. Box 144534, Abu Dhabi, UAE; E-mail: fares.howari@zu.ac.ae
01 June 2018; 28 June 2018; 30 June 2018
Mohammad M, Howari FM, Acbas G, Nazzal Y, AlAydaroos F, et al. (2018) Wavelets Based Simulation and Visualization Approach for Unmixing of Hyperspectral Data. Int J Earth Environ Sci 3: 152. doi: https://doi.org/10.15344/2456-351X/2018/152
This study was supported by a Grant-in-Aid for Scientific Research (C) from the Japan Society for the Promotion of Science (grant number 20592601).

Abstract

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.