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根据小波变换和Teager能量算子(TEO)的局部特性,该文提出一种基于SAR图像的船舰检测算法。该算法对SAR图像进行小波变换,计算小波系数的Teager能量。根据小波域的Teager能量对船舰信号的增强特性,使用双参数CFAR检测SAR图像船舰。仿真结果表明,新算法与传统的双参数CFAR检测算法和基于K-分布的单元平均检测算法相比,在船舰检测数和虚警数性能指标上均优于传统检测算法。
According to the local characteristics of wavelet transform and Teager energy operator (TEO), this paper proposes a ship detection algorithm based on SAR images. The algorithm carries out wavelet transform on SAR image to calculate Teager energy of wavelet coefficients. According to the enhanced characteristic of Teager energy in the wavelet domain to ship signal, the SAR image ship using two-parameter CFAR is detected. The simulation results show that the new algorithm outperforms the traditional detection algorithms in both the number of ship detection and the number of false alarms when compared with the traditional two-parameter CFAR detection algorithm and the K-distribution based average detection algorithm.