SAR sea ice image classification system based on PCNN
Ji, Yonggang; Zhang, Jie; Meng, Junmin; Zhang, Hande
刊名Gaojishu Tongxin/Chinese High Technology Letters
2008-02-01
卷号18期号:2页码:190-195
ISSN号10020470
英文摘要The pulse-coupled neural network (PCNN) was simplified and improved, and a PCNN SAR sea ice image classifier based on time-index images was proposed. Then a semi-automatic sea ice classification system with a man-machine interface was built based on the artificial interpretation. The classifier proposed was used in the detection and classification of sea ice in Liaodong bay. The results show that the classifier can distinguish sea ice from open water and recognize the different ice types with high efficiency. In order to select PCNN parameters suitable for classification of sea ice in Liaodong bay, the linking radius, the linking strength and the time-index rank were analyzed, and their value ranges and regulatory principles were given.
语种中文
出版者Inst. of Scientific and Technical Information of China, Beijing, 100038, China
内容类型期刊论文
源URL[http://ir.fio.com.cn:8080/handle/2SI8HI0U/6852]  
专题自然资源部第一海洋研究所
作者单位1.First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;
2.North Sea Branch, Qingdao 266033, China
推荐引用方式
GB/T 7714
Ji, Yonggang,Zhang, Jie,Meng, Junmin,et al. SAR sea ice image classification system based on PCNN[J]. Gaojishu Tongxin/Chinese High Technology Letters,2008,18(2):190-195.
APA Ji, Yonggang,Zhang, Jie,Meng, Junmin,&Zhang, Hande.(2008).SAR sea ice image classification system based on PCNN.Gaojishu Tongxin/Chinese High Technology Letters,18(2),190-195.
MLA Ji, Yonggang,et al."SAR sea ice image classification system based on PCNN".Gaojishu Tongxin/Chinese High Technology Letters 18.2(2008):190-195.
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