| 基于简缩极化SAR的溢油检测与分类方法 |
| |
| 引用本文： | 舒思京,孟俊敏,张 晰,刘根旺.基于简缩极化SAR的溢油检测与分类方法[J].海洋科学进展,2021,39(1):146-157. |
| |
| 作者姓名： | 舒思京 孟俊敏 张 晰 刘根旺 |
| |
| 作者单位： | 1. 自然资源部 第一海洋研究所,山东 青岛 266061;
2. 自然资源部 海洋工程技术创新中心， 山东 青岛 266061 |
| |
| 基金项目： | 国家重点研发计划——（2017YFC1405300）；国家自然科学基金项目——基于无人机紫外与SAR的溢油遥感监测方法研究（41706208） |
| |
| 摘 要： | 针对简缩极化SAR在海上溢油的检测与分类应用开展研究,利用欧式距离全面分析了简缩极化SAR的36种极化特征在溢油检测与油膜分类中的性能,发现简缩极化特征中的奇次散射系数的溢油检测性能最好,简缩极化熵的疑似溢油鉴别性能最好。在此基础上,提出了结合二叉树原理的简缩极化SAR溢油检测与油膜分类算法,并分析了RADARSAT-2和SIR-C全极化溢油数据模拟的简缩极化数据。结果表明,此方法对溢油的检测精度可达95.67%,对于疑似溢油的识别精度可达95.71%,证明了简缩极化SAR在溢油检测与分类中具有较好的应用前景。
|
| 关 键 词： | 溢油检测 简缩极化SAR 油膜分类 |
Oil Spill Detection and Classification Method Based on Compact Polarization SAR |
| |
| SHU Si-jing,MENG Jun-min,ZHANG Xi,LIU Gen-wang.Oil Spill Detection and Classification Method Based on Compact Polarization SAR[J].Advances in Marine Science,2021,39(1):146-157. |
| |
| Authors: | SHU Si-jing MENG Jun-min ZHANG Xi LIU Gen-wang |
| |
| Institution: | 1.First Institute of Oceanography, MNR, Qingdao 266061, China;
2.Ocean Telemetry Technology Innovation Center, MNR, Qingdao 266061, China |
| |
| Abstract: | The application of compact polarization SAR in the detection and classification of oil spill was analyzed in this study. First, we perfomed a comprehensive analysis of the performance of 36 features of compact polarization SAR in oil spill detection and classification by using Euclidean distance, and found that the odd-order scattering coefficient had best performance on oil spill detection, and the compact polarization entropy achieved better performance on oil spill lookalikes identification. Then, we proposed a compact polarization SAR oil spill detection and classification algorithm based on the binary tree idea, and the fully-polarimetric data of RADARSAT-2 and SIR-C were used to reconstruct the reduced polarized data and experiments. Results showed that the detection accuracy of oil spill detection is 95.67%, and the identification accuracy of oil spill lookalikes can reach 95.71%, which is 2% higher than the classic Wishart supervised classification method, indicating that the compact polarization SAR has a better application prospect in oil spill detection and classification. |
| |
| Keywords: | oil spill detection compact polarimetric SAR oil spill types classification |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《海洋科学进展》浏览原始摘要信息 |
| 点击此处可从《海洋科学进展》下载免费的PDF全文 |
|
