학술논문
Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification
Document Type
Conference
Author
Bui, Thanh; Orberger, Beate; Blancher, Simon B.; Mohammad-Djafari, Ali; Pilliere, Henry; Salaun, Anne; Bourrat, Xavier; Maubec, Nicolas; Lefevre, Thomas; Rodriguez, Celine; Vaitkus, Antanas; Grazulis, Saulius; Duee, Cedric; Harang, Dominique; Wallmach, Thomas; El Mendili, Yassine; Chateigner, Daniel; Buxton, Mike; Le Guen, Monique
Source
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2018 - 2018 IEEE International. :4261-4264 Jul, 2018
Subject
Language
ISSN
2153-7003
Abstract
The objective of the SOLSA project (EU-H2020) is to develop an analytical expert system for on-line-on-mine-real-time mineralogical and geochemical analyses on sonic drill cores. As one aspect of the system, this paper presents the building of the hyperspectral library and its incorporation into sparse unmixing techniques for mineral identification. Twenty seven spectra representing 14 minerals have been collected for the library. Three sparse unmixing techniques have been investigated and evaluated using simulated data generated from our hyperspectral library, and real hyperspectral data acquired from a serpentinized harzburgite sample. Among the three techniques, the collaborative sparse unmixing by variable splitting and augmented Lagrangian (CLSUnSAL) method provided the best accurate results on the simulated data. In addition, the results of the CLSUnSAL method show high correlation with that of the QEMSCAN® analysis on the harzburgite hyperspectral data.