Research on Hyperspectral-Based Feature Set Construction and Machine Learning Inversion for Mixed Salts Characteristics in Murals
Abstract. To enable non-destructive quantitative identification of mixed salts in mural plaster layers, hyperspectral data were collected from Na₂SO₄-CaCl₂ mixed-salt samples. Based on these data, a method integrating spectral preprocessing, feature-set construction, and machine-learning inversion was proposed. First,...