ABSTRACT
Hyperspectral imaging captures the interaction between electromagnetic radiation and matter by narrow and contiguous bands. This results in the signature with more detailed information about the target material as compared to the broad band multispectral signature. This helps in the direct identification of the target material by matching the pixel spectrum from the image with the spectrum in the reference library of field or laboratory spectra. The quantification models using hyperspectral data are more accurate than multispectral data models too.
Because of the technical advances in recent years and the utility of the hyperspectral data in monitoring earth resources more accurately, many spaceborne platforms are being launched or are due for launching. Some of the important missions are: SAHLOM, PRISMA, HISUI and so on. Commercial hyperspectral missions are on the horizon as well. OrbitalSidekick, Pixxel are good examples of them.
Some of the processing steps of hyperspectral data are the same as the processing of multispectral data. However, hyperspectral data processing focuses more on extracting spectral features, especially diagnostic absorption, and depths. Conversion of radiances to reflectance is a critical step in processing of the hyperspectral data. High dimensionality of the hyperspectral data is another issue which needs a separate treatment.
