Parameter Studies for Spectral Imager Application Performance
Multi- and hyperspectral imaging systems have found utility in a variety of Earth remote sensing applications. Much research has focused on developing new ways to process the data and obtain improved results in a given application. However, relatively little research has focused on the open question of what is the optimum performance possible in a given situation. The work discussed in this paper is aimed at exploring that question through analytical modeling and performance trade studies. We show example analysis results that indicate performance floors where no further improvement is possible due to improved spatial resolution or signal-to-noise ratios in given analysis tasks.