Abstract
The study aims to detect alteration indicative minerals on a part of Hyperion scene in the Lahroud region using the image processing methods. However, it is rarely possible to find actually pure pixels in the mineralogical scale inside the study scenes. This implies the necessity of the identification of sub-pixel materials before classification and mineral mapping using the spectral unmixing algorithms. The Linear Mixture Model (LMM) based standardized hyperspectral processing methodology was employed for this purpose. The necessary pre-processing tasks including the atmospheric and topographic corrections and data quality assessment were also utilized to increase the classification accuracy. The mineralogical and alteration map of the study area was then extracted and evaluated quantitatively with respected to the geological setting of the study area. Despite of the presence of complex facies in the region, the possibility of the applied methodology in the alteration mapping by linear unmixing was proved on Hyperion datasets. The low signal to noise ratio of the Hyperion sensor caused some difficulties but, considering the high cost and consumed time of the field sampling and geochemical studies, the applied method is an advantageous tool for primary steps of the exploration.
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Oskouei, M.M., Babakan, S. Detection of Alteration Minerals Using Hyperion Data Analysis in Lahroud. J Indian Soc Remote Sens 44, 713–721 (2016). https://doi.org/10.1007/s12524-016-0549-6
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DOI: https://doi.org/10.1007/s12524-016-0549-6