作者: Jens Nieke , Daniel Schlapfer , Francesco Dell'Endice , Jason Brazile , Klaus I. Itten
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摘要: The increasing quantity and sophistication of imaging spectroscopy applications have led to a higher demand on the quality Earth observation data products. In particular, it is desired that products be as consistent possible (i.e., ideally uniform) in both spectral spatial dimensions. Yet, acquired from real (e.g., pushbroom) spectrometers are adversely affected by various categories artifacts aberrations including follows: singular linear bad pixels missing lines), area optical aberrations), stability degradation defects. Typically, consumer such not aware magnitude inherent uncertainties even more uncertainty introduced during level processing for any particular application. this paper, shown impact spectrometry product imperfections currently available has an 10%, though worst case scenarios were excluded, state-of-the-art corrections applied, radiometric calibration excluded. Thereafter, demonstrated how error can reduced (<5%) with appropriate technology (onboard, scene, laboratory calibration) assimilation procedures preprocessing data. As result, accurate, i.e., uniform, delivered user community. Hence, term uniformity defined enabling quantitative means assess It argued rigor necessary calculating propagation respective results