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Landmine classification using possibilistic K-nearest neighbors with wideband electromagnetic induction data
(University of Missouri--Columbia, 2012)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In this thesis, a possibilistic K-nearest neighbor classifier is presented to distinguish between and classify mine and non-mine targets on data ...
Accounting for spectral variability in hyperspectral unmixing using beta endmember distributions
(University of Missouri--Columbia, 2013)
Hyperspectral imaging is widely used in the field of remote sensing (Goetz, et al., 1985; Green, et al., 1998). In a hyperspectral imaging system, sensors collect radiance/reflectance values over an area (or a scene) across ...