基于简缩极化SAR的溢油检测与分类方法

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-...

Oil Spill Detection and Classification Method Based on Compact Polarization SAR

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.