海洋浮游生物图像观测技术及其应用

Automated Marine Plankton Image Techniques and Its Application

浮游生物图像自动识别技术是当前海洋浮游生态学的研究热点。该技术结合水体成像系统和自动识别软件,能够对浮游生物的种类组成和丰度进行快速自动识别和定量分析,从而获得关于浮游生物分布和丰度更及时、更准确的信息,为大尺度、实时、连续地研究浮游生物分类学和生态学特征提供了一种有效手段。重点分析了当前国际上浮游生物图像识别技术研究的最新进展、主要应用领域、存在的问题以及未来的发展方向,旨在进一步推进该技术在我国近海及大洋浮游生态学及相关研究领域中的应用。

Automated marine plankton image identification technique is a hot issue in the research of marine plankton ecology. By combining imaging systems and automatic classification software, these techniques are good at rapid identification and quantitative analysis on composition and abundance of plankton samples, which provides an efficient way to study the ecology and taxonomy of plankton continuously on a large scale. The development of plankton-imaging systems, including ZooSean, Video Plankton Recoder, Underwater Video Profiler, FlowCAM, CytoSense and Holography, was reviewed. The techniques for automated identification of plankton images were introduced accordingly. The application of this technique in the field of marine ecosystem long term observation, size spectra and plankton biomass estimation was analyzed. The perspective and challenge were proposed finally. It is anticipated to promote the application of this technique in the research of coastal and oceanic plankton ecology and relevant fields in China.