基于频域CFAR方法的SAR图像自动目标检测

Automatic Targets Detection of SAR Image Based on CFAR Method in Frequency-Domain

针对机载合成孔径雷达中常见的图像目标,以基于对比度的目标检测方法为根本出发点,简单介绍了频域恒虚警检测方法以及SAR图像自动目标CFAR检测原理。重点分析了均值类恒虚警检测器的基本原理与处理过程,最后以模拟点目标为例进行方案验证,实现了频域中不同CFAR处理方法对于SAR图像中异质区域的MATLAB仿真,并对仿真性能进行了深入分析,证明了频域恒虚警处理在SAR图像自动目标检测处理中的可行性和有效性。

This paper aimes at classical Targets in A-SAR target image to start with the method of targets detection based on contrast,the detection methods of constant false alarm rate in frequency-domain and Principle of automatic targets detection for SAR image are introduced.The text emphasizes on analysizing the fundamental principles and processing procedures of ML-constant false alarm rate detector.And at last take point target for example to validate solution,the simulation of different CFAR processing method in frequency-domain for heterogeneous area is realized in SAR image using MATLAB and makes a deeply analyse of emulational capability.It manifests the feasibility and availability of the solution that automatic targets detection of sar image based on CFAR method in frequency-domain.