Identification of minerals from hyperspectral imaging based on a fuzzy logic approach

Ronan Rialland; Véronique Carrère; Rodolphe Marion; Charles Soussen

doi:10.1117/12.2587600

12 April 2021 Identification of minerals from hyperspectral imaging based on a fuzzy logic approach

Ronan Rialland, Véronique Carrère, Rodolphe Marion, Charles Soussen

Proceedings Volume 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII; 117270P (2021) https://doi.org/10.1117/12.2587600
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

We present a fuzzy logic approach allowing the identification of minerals from re ectance spectra acquired by hyperspectral sensors in the VNIR and SWIR ranges. The fuzzy logic system is based on a human reasoning. It compares the positions of the main and secondary absorptions of the unknown spectrum (spectral characteristics estimated beforehand) with those of a reference database (derived from mineralogical knowledge). The proposed solution is first evaluated on laboratory spectra. It is then applied to airborne HySpex and satellite-borne PRISMA images acquired during a dedicated campaign over two quarries in France. This demonstrates the relevance of the method to automatically identify minerals in different mineralogical contexts and in the presence of mixtures.

Conference Presentation

Citation Download Citation

Ronan Rialland, Véronique Carrère, Rodolphe Marion, and Charles Soussen "Identification of minerals from hyperspectral imaging based on a fuzzy logic approach", Proc. SPIE 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII, 117270P (12 April 2021); https://doi.org/10.1117/12.2587600

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