Civilian Vessel Classification with COSMO-SkyMed Images Based on Feature Analysis

摘要：

　　Vessel classification is an important part of global monitoring of maritime traffic and ocean environment.In high resolution SAR images,it is possible to recognize civilian vessels base on their features of back scattering and structure.This paper presents a vessel classification method that uses single-pol COSMO-SkyMed images to categorize vessel targets into three types,which include cargo vessels,container vessels and oil tankers.The result shows that this method can classify vessels at an average precision of 80%.

关键词： vessel classification high resolution COSMO-SkyMed SAR

作者: Shaofeng Jiang Fan Wu Chao Wang Bo Zhang

作者单位: Center for Earth Observation and Digital Earth, CAS, Beijing, China, 100094;Graduate University of C Center for Earth Observation and Digital Earth, CAS, Beijing, China, 100094

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）