Hyperspectral/Multispectral imaging (HSI/MSI) technologies are able to sample from tens to
hundreds of spectral channels within the electromagnetic spectrum, exceeding the …

Detailed map** of mineral phases at centimeter scale can be useful for geological
investigation, including resource exploration. This work reviews case histories of ground …

Various supervised classification algorithms have been developed to classify earth surface
features using hyperspectral data. Each algorithm is modelled based on different human …

Natural and anthropogenic hazards have the potential to impact all aspects of society
including its economy and the environment. Diagnostic data to inform decision-making are …

Cyanobacteria are ubiquitous aquatic organisms with a remarkable evolutionary history
reaching as far as 1.9 Ga. They play a vital role in ecosystems yet also raise concerns due to …

Many applications in carbonate facies analysis require a compositional analysis of the grain,
cement, and pore types. Image analysis based on deep learning models can help …

Soil oxides are important diagnostic indicators for soil quality assessment, and their content
has a positive effect on adsorption of heavy metals, remediation of pollution, and …

Minerals, metallurgy, and other production activities will cause a large number of heavy
metal elements to leak into the natural environment. A large number of heavy metal …

We present a fuzzy logic approach allowing the identification of minerals from re ectance
spectra acquired by hyperspectral sensors in the VNIR and SWIR ranges. The fuzzy logic …

The identification and map** of the mineral composition of by-products and residues on
industrial sites is a topic of growing interest because it may provide information on plant …