基于小波分解的K-分布SAR图像舰船检测

A Ship Detection Method of SAR Images Based on Wavelets and K-distribution

舰船目标检测是合成孔径雷达海洋应用的一个重要组成部分.通过对合成孔径雷达图像中舰船目标和海杂波背景的结构差异特点进行分析,提出了一种利用小波分解技术和K-分布海杂波模型的恒虚警率舰船目标检测方法,并对实际SIR-C C波段SAR图像进行了实验.实验结果表明,该方法能够在复杂相干斑和海杂波背景中大幅增强舰船目标,并且有效保证了检测结果的准确性.

Ship detection is an important section of Synthetic Aperture Radar＇s marine applications. Through analyzing the distinct structural properties of ship targets and sea clutters in SAR images, the author proposed a ship detection method based on wavelet decomposition and K-distribution CFAR （Constant False Alarm Rate）, and applied it to real SIR-C SAR images. The experimental results show that this method can not only efficiently enhance ship targets in sea clutters for SAR images, but also guarantee the detection accuracy.