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

介绍了一种利用RGB颜色模型对海洋漂浮物进行彩色图像分类的方法，利用荧光分光光度计获取了113个紫外光诱导光谱，并确定了紫外荧光成像激光雷达系统中4个滤光片的波段。使用我们的激光雷达系统，包括波长为355 nm的脉冲激光和配备了新的四个带通滤光片的门控ICCD相机，我们观测到了漂浮物的荧光图像。用这种方法可以清晰地将被观测的物质与紫外光诱导的荧光区分开来。

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.