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

针对海上漂浮物的探测，提出了一种基于RGB颜色模型的彩色图像分类方法，利用荧光分光光度计获得了113个紫外光谱，确定了紫外荧光成像LIDAR系统中4个滤光片的波段。使用我们的激光雷达系统组成的脉冲激光的波长为355 nm的ICCD相机配备了新的四个带通滤波器，我们观察到的荧光图像的浮动材料。该方法可根据紫外激光诱导的荧光对所观察到的物质进行清晰的分类。

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.