Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …

The compact Reconnaissance Imaging Spectrometer for Mars (CRISM) has significantly
advanced our understanding of the mineralogy of Mars. With its enhanced spectral and …

Hyperspectral images usually have high-dimensional and abundant spectral information for
land-cover types classification. Research shows that multiple kinds of features would be …

Deep learning models are widely employed in hyperspectral image processing to integrate
both spatial features and spectral features, but the correlations between them are rarely …

Component identification of textile materials is an important issue for studies of cultural
heritage collections and science conservation. Portable spectroradiometer technology as a …

Quantitative metal grade inversion based on hyperspectral data is an effective approach to
achieve the real-time in situ determination of ore body grades and has the advantages of …

Quantitative evidence for the fundamental spectral shape similarity existing between
different soils is presented utilizing Pearson's correlation and SAM (Spectral Angle Mapper) …

This study describes a methodogy for spectrum-feature extraction from diffuse reflectance for
distributions of materials on substrates, which is based on diffuse-reflectance theory and …

Extraction of experimental spectrum features from target molecules, for purpose of their
detection, can be achieved by comparison to template spectra within a database. This study …

Diagnostic absorption feature has the potential to be the key factor in the mineral information
extraction from vegetation-covered area. Reference Spectral Background Removal (RSBR) …