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

Ronan Rialland (1) , V. Carrere (2) , Rodolphe Marion (3) , Charles Soussen (1)

1 L2S - Laboratoire des signaux et systèmes
2 LPG - Laboratoire de Planétologie et Géodynamique [UMR 6112]
3 DAM - Direction des Applications Militaires

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.

Mots clés: PRISMA; Identification procedure; Fuzzy logic; Mineral reflectance spectra; Hyperspectral images; HySpex; PRISMA

Domaines: Minéralogie; Traitement du signal et de l'image [eess.SP]

Ronan Rialland, V. Carrere, Rodolphe Marion, Charles Soussen. Identification of minerals from hyperspectral imaging based on a fuzzy logic approach. SPIE Defense + Commercial Sensing,, Apr 2021, Online, United States. pp.18, ⟨10.1117/12.2587600⟩. ⟨hal-03210707⟩