Application of Automatic Recognition System for Coccoliths in Paleoceanography: A Case Study at Site Md05-2901, South China Sea

详细信息   

• 责任者：Su Xiang （State Key Laboratory of Marine Geology ; Tongji University ; Shanghai 200092 ; China） ; Liu Chuanlian
• 刊名：Acta Micropalaeontologica Sinica
• 出版年：2008
• 卷期：25(4)
• 关键词：颗石藻类 ; coccolithophorids ; 计算机程序 ; computer programs
• 页码：p.385-392
• 图表：4 illus., 25 refs.
• 分类号：1101
• issnNo：ISSN1000-0674
• isbnNo：CN32-1189/Q

摘要

Automatic recognition system for coccoliths (Système de Reconnaissance Automatique de Coccolithes, SYRACO) is a tool for automatic identification and count of coccolith by artificial neural networks. This software is able to identify individual coccoliths reliably at the same time as it is able to recognize almost all coccoliths present in a field of view, which would improve work efficiency significantly and prevent manual errors in routine work. The trained SYRACO system could identify 14 Quaternary coccolith taxa. The authors employ SYRACO to analyze coccolith specimens at Site MD05-2901 in the South China Sea and obtain the percentages of Florisphaera profunda, Emiliania huxleyi and Gephyrocapsa oceanica. The incorporation of the automatic recognition results and previous manual counts proves the utility of SYRACO on paleoceanographic research.