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Then, the polystyrene was spectrally mapped and identified in the exposed brain images using the Spectral Angle Mapper algorithm.
Maps of the various pigments detected were made using the spectral angle mapper algorithm.
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We used the spectral angle mapper (SAM) algorithm to cluster the spectra of the data set according to their similarity to endmember spectra (Fig. 1b, c).
The map (Figure 1) was obtained by use of the Spectral Angle Mapper classifier [19] from multispectral data collected in October 2002.
c GNP spectra from few NP clusters localized within cells and the reference spectra (inset) used to create the spectral angle map in b. (Color figure online).
The Spectral Angle Mapper Algorithm (SAM) is used for the classification of many studies using high resolution satellite data.
The range of values for the spectral angle is [0°, 90°], with values close to 0° indicating higher spectral similarity.
For the SAM classifications, a threshold of the spectral angle was applied.
The distribution of coexisting anomalies, which results from both alteration minerals and hydrocarbons, is estimated by the diagnostic macroscopic features mainly using Spectral Angle Mapper (SAM) classifier.
Examples of different types of the LULC classes (forestland, agriculture, built-up areas, unused land and other lands) were specified on area images and classified using spectral angle mapping.
In order to overcome the above shortcomings, we use the magnitude and spectral angle information of bitemporal image in the uncertainty region.
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