A method of classification of images using a RGB color model for detecting floating materials at sea

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This paper describes a method of classification of color images using a RGB color model for detecting the floating materials on the sea.We obtained 113 UV-induced spectrum by using the fluorescence spectrophotometer, and decided wavelength bands of the four optical filters in UV fluorescence imaging LIDAR system. Using our LIDAR system composed of a pulsed laser of 355nm in wavelength and a gated ICCD camera equipped with new four band-pass filters, we observed fluorescent images of the floating materials. Observed materials can be clearly classified by this method from fluorescence induced by UV laser.