摘要
海冰监视监测的关键是提取海冰类型,准确提取海冰类型对于评估海冰冰情、保证航海及海洋作业安全具有重要的意义。利全极化合成孔径雷达影像(SAR)的优势,提取海冰的极化散射特征;在此基础上结合二叉树分类思想,开展极化SAR海冰类型的分类算法研究,提高SAR海冰分类精度;与传统的海冰分类方法相比较,验证了本方法的有效性。
The key of monitoring and detection sea ice is extracting the sea ice types.Extracting sea ice types exactly has important significance for evaluating sea ice condition and ensuring navigation and marine operation safety.In this paper,the polarimetric scattering characteristics of sea ice are extracted by using high-resolution and fullypolarimetric SAR imagery.By combining the binary-tree classification idea,a sea ice classification algorithm of high-resolution and fully-polarimetric SAR data is developed,enhancing the SAR classification accuracy of sea ice.Finally,we verify the reliability of this method by comparing with the traditional sea ice classification method.
出处
《海洋学报》
CAS
CSCD
北大核心
2013年第5期95-101,共7页
基金
国家自然科学基金--多维度微波成像的海洋遥感应用研究(60890075)
国家自然科学基金--多时相SAR渤海薄冰厚度探测研究(40906093)
中欧龙计划二期项目(5290)
关键词
海冰分类
极化SAR
极化散射特征
Sea ice types classification
Polarimetric Synthetic Aperture Radar（PolSAR）
polarimetric scattering characteristics
