Remote Sensing Applications and Decision Support

High-order derivative spectrum in hydrothermally altered minerals discrimination

[+] Author Affiliations
Sahar Dehnavi, Yasser Maghsoudi, Mohammad Javad Valadan Zoej

Khaje Nasir Toosi University of Technology, Faculty of Geodesy and Geomatics, Department of Remote Sensing, Valiasr Street, Tehran 19967-15333, Iran

Fariborz Baniadam

Geological Survey of Iran, Azadi Square, Meraj Street, Tehran 13185-1494, Iran

J. Appl. Remote Sens. 9(1), 096086 (Feb 05, 2015). doi:10.1117/1.JRS.9.096086
History: Received August 30, 2014; Accepted January 7, 2015
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Abstract.  Minerals have unique spectral signatures that can be used for their identification similar to a fingerprint. Although some minerals have extremely similar compositions thus comparable signatures, they can be differentiated through remote sensing. Therefore, a derivative spectrum was used in this study, which enhanced the subtle spectral discrepancies to help determine whether a special order of a derivative spectrum is applicable in discrimination of these mineral targets. Second, we investigated whether derivative spectra in higher orders can be applied to discriminate between mineral targets using those in five orders as an input for a similarity measure (Jeffries-Matusita distance). Results of this study have shown that the best derivative order selection for each target is a target-specific problem. The first and fourth derivative orders were the bests for alunite and quartz minerals, respectively. As spectral smoothing is a preliminary process of derivative analysis, its bandwidth influence on derivative spectra was then investigated, and a smoothing window size of five sampling points was considered. Based on the results of this study, we recommend the introduction of high-order derivative spectra as the input for many detectors or classifiers in remote sensing especially for differentiation of minerals such as phengite, muscovite, and sericite.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Sahar Dehnavi ; Yasser Maghsoudi ; Mohammad Javad Valadan Zoej and Fariborz Baniadam
"High-order derivative spectrum in hydrothermally altered minerals discrimination", J. Appl. Remote Sens. 9(1), 096086 (Feb 05, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.096086


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