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Accurate target detection and classification in hyperspectral imagery require that the spectral measurements by the imager match as closely as possible the known “true” target as collected under controlled conditions and stored in a target database. Therefore, the effect of the radiation source and the atmosphere must be factored out of the result before detection is attempted. Our objective is to...
Accurate target detection and classification of hyperspectral imagery require that the measurement by the imager matches as closely as possible the known “true” target as collected under controlled conditions. Therefore, the effect of the radiation source and the atmosphere must be factored out of the result before detection is attempted. Our objective is to investigate the relationship between uncertainty...
Accurate target detection and classification of hyperspectral imagery require that the measurement by the imager matches as closely as possible the known “true” target as collected under controlled conditions and stored in a classification database. Therefore, the effect of the radiation source and the atmosphere must be factored out of the result before detection is attempted. Our objective is to...
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