Geometallurgical estimation from hyperspectral images and topic modelling
Conference presentation, 18th International Conference on Mineral Processing and Geometallurgy (Procemin Geomet 2022), Santiago, Chile
Presented at Procemin Geomet 2022, the premier mineral processing conference in Latin America. Formalizes mineral sample characterization as a topic modelling task using Latent Dirichlet Allocation (LDA) on hyperspectral pixels. The analogy: minerals are “topics”, spectral signatures are “words”, each pixel is a “document”. Provides experimental evidence on SWIR and VNIR wavelengths. Joint work with Alejandro Ehrenfeld, Felipe Garrido, Felipe Navarro, and Alvaro Egana.
