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In this work, neural network-based models involved in hyperspectral image spectra separation are considered.
The objective of this research was to define the influence of soil attributes on LST and satellite image spectra.
2) The accuracy of the fully constrained linear spectral unmixing method increased (from 67%to7777%) when the classes were represented with several image spectra.
In particular, we showed that the hard X-ray image spectra could be explained by a power-law electron beam with a lower energy cutoff Ec.
Analysis reveal that at each location in the lake under consideration, the field spectra matched with the image spectra with SAM score of 0.8 and more.
In SASD-MESMA, the parameters of spectral angle (SA) and spectral distance (SD) are used to evaluate the similarity degree between library spectra and image spectra in order to identify the most representative endmember combination for each pixel.
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We obtained the temperature map of the loop source from RHESSI image spectrum.
The image characteristics were analyzed by the image spectrum method and presented by the spectrum-frequency slope (S).
A hand-shape based biometric identification system which is independent of the image spectrum range is proposed here.
Figure 4 Example of a 2D image spectrum I (k, ω ), and its different spectral components [7, 9].
Hence, an inversion modeling technique is applied to the image spectrum I k, ω) to estimate the wave spectrum F k, ω) [7].
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