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A good similarity measure is very important to ensure accurate classification of vegetation species using hyperspectral remote sensing data. In this study, the effectiveness of the existing similarity measures, spectral angle mapper (SAM), Euclidean distance (ED), and spectral information divergence (SID) was evaluated using data measured by a field spectrometer. To overcome the limitations of the...
Defence R&D Canada has been studying the military applications of hyperspectral imagery for a number of years. In other unrelated efforts, the Canadian remote sensing community has also been active in developing hyperspectral algorithms for civilian use. This civilian technology has many potential military applications. In an effort to demonstrate the potential of these defence and civilian technologies...
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