Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations
Distinct reflectance patterns of manually classified hyperspectral pixels. (a) A representation of a hyperspectral data cube with 254 image bands from 546 nm to 1700 nm. Example background, leaf, stalk, and panicle points highlighted in gray, green, orange, and purple, respectively. (b) Generalized reflectance patterns of leaf, stalk, panicle, and background pixels across wavelengths. Average reflectance intensity at each wavelength is indicated with a solid line, while the standard deviation among pixels belonging to that class is indicated by semitransparent bands. The blue portion of the visible spectrum 380-545 nm was not captured by this particular hyperspectral camera. The remaining portion of visible spectrum 546-780 nm or approximately green to red is indicated immediately above the -axis. Infrared 780-1700 is indicated in the same color bar as pale brown. (c) Estimated feature importance for individual hyperspectral bands in random forest models indicated using the same -axis scale of wavelengths used in (b).