Titanium metal identification in southern region of Tamil Nadu using hyperspectral imagery

Abstract

The SEM with EDXS analysis is performed to identify the chemical composition of Titanium metal in soil samples. To estimate the Titanium metal deposit in soil samples using hyperspectral data requires various processing steps such as bad bands removal, destriping, radiance generation, atmospheric correction, data dimensionality reduction, end member identification and classification. The absolute reflectance bands are generated using FLAASH module. The data dimensionality reduction for reflectance bands are carried out such as minimum noise fraction (MNF) and pixel purity index (PPI) respectively. Titanium metal deposit is identified using per pixel based classification depends on the end member spectral signatures.