Hyperspectral data has remarkable capabilities for automatic identification and mapping of urban surface materials because of its high spectral resolution. It includes a wealth of information which facilitates an understanding of the ground material properties. For identification of road surface materials, information about their relation to hyperspectral sensor measurements is needed. In this ...

Hyperspectral imaging can help blueberry growers by detecting berries of various maturity stages, so that they can deploy harvesting labors more efficiently. Spectral-spatial detection from hyperspectral images using selected bands is applied to the blueberry maturity stage detection. Nested clustering technique and morphological operations are used as two approaches to spatially process the hy...

The analysis of the hyperspectral image is an important method used in mineral detection. A map Feldspar will produced for study area, which lies to west holy province Karbala and limited that download from USGS website (type EO-1 satellite) , by using Spectral Angle Mapper (SAM) technique Erdas software, based on calculating spectral reflection curve any point feldspar available library softwa...

Spectral matching algorithms can be used for the identification of unknown spectra based on a measure of similarity with one or more known spectra. Two popular spectral matching algorithms use different error metrics and constraints to determine the existence of a spectral match. Multiple endmember spectral mixture analysis (MESMA) is a linear mixing model that uses a root mean square error (RM...

Radiometric precision is difficult to maintain in orbital images due to several factors (atmospheric conditions, Earth-sun distance, detector calibration, illumination, and viewing angles). These unwanted effects must be removed for radiometric consistency among temporal images, leaving only land-leaving radiances, for optimum change detection. A variety of relative radiometric correction techn...