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A method for selecting optimal spectral resolution and comparison metric for material mapping by spectral library search

Use of spectral library searching as an automated method of analysing hyperspectral remote sensing data for material mapping is gaining prominence, especially in the mineral mapping domain. The possibility and reliability of material identification by the spectral library search approach depends on the spectral representation, characterized by spectral resolution (or sampling interval) and comparison metric used. We present a method referred to as Relative Search Performance (RSP) for an evaluation of various spectral representations and comparison metrics for designing an optimal library search system for material mapping. The proposed method works on the basis of tracking the changes in the spectral matching ranks of entries in the hit lists of spectral library searches for various spectral representations and comparison metrics relative to a chosen standard. The method has been tested for the comparison of the search performance of various discrete spectral sampling intervals and popular comparison metrics using the USGS Spectral Library. Results indicate that this approach can be used for the selection of optimal spectral representation and/or for selecting a comparison metric appropriate for a particular material mapping application by the reflectance spectral library search.