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A proof of the NFINDR algorithm for the automated detection of endmembers in
Error analysis in hyperspectral unmixing 542504
Generation of synthetic HSI data using linear mixing model with Gaussian endmembers
55 other sections not shown
224-channel calculations 6-channel calculations absorption abundance maps Airborne algorithm Algorithms and Technologies alunite analysis applied approach AVIRIS background basis vectors basis vectors calibration channel classification clusters computed constraints convex cone convex set covariance matrix Cuprite data set defined derived detector dimensionality distribution edge edge detection emissivity end-images end-spectra endmember pairs endmember selection equation error estimate expansion coefficients extreme vectors function HSI data hyperspectral data hyperspectral image hyperspectral imagery IEEE illustrated in Figure infrared linear mixing model matched filter material MaxD maximum measured MODTRAN nodes noise number of endmembers oblique projection optimal orthogonal projection parameters performance pixel pixel models pixel spectra plume QuickBird radiance region registration Remote Sensing residual ROC curves sample scene segmentation sensor simplex space spectral bands spectrum SPIE Vol statistics subpixel subset subspace target basis vectors target detection techniques Technologies for Multispectral temperature texture transform Ultraspectral Imagery unmixing wavelength