作者: Keith Lewis
DOI: 10.1117/12.801753
关键词: Chromatic scale 、 Optical engineering 、 Computer vision 、 Discriminative model 、 Hyperspectral imaging 、 Artificial intelligence 、 Machine vision 、 Image processing 、 Geography 、 Biological imaging 、 Sensor array
摘要: The typical human vision system is able to discriminate between a million or so different colours, yet do this with chromatic sensor array that fundamentally based on three receptors, sensitive light in the blue, green and red portions of visible spectrum. Some biological organisms have extended capabilities, providing ultra-violet, whilst others, such as some species mantis shrimp reportedly sixteen types photo-receptors. In general imaging takes minimalist approach sensing its environment, whereas current optical engineering approaches follow 'brute' force solution where challenge hyperspectral addressed by various schemes for spatial spectral dispersion radiation across existing detector arrays. This results problem others solve processing communication generated hypercube data. paper explores parallels those systems design concepts being developed discriminative imaging, drawing activity supported UK Electro-Magnetic Remote Sensing Defence Technology Centre (EMRS DTC).