基于多方位分辨率图像的低频SAR地面运动目标检测方法
doi: 10.3724/SP.J.1146.2011.00991
Moving Target Detection Based on Multiple Azimuth Resolution Images in Low Frequency SAR
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摘要: 该文利用多方位分辨率图像，提出了一种适用于低频SAR的运动目标检测算法。首先分析了多方位分辨率图像上静止和运动目标像的变化特点。通过计算方位向3 dB宽度、距离模糊数和归一化能量，发现了散焦像的变化规律。其次，基于该特点，提出了一种低频SAR图像中运动目标的检测方法。该方法克服了传统方法搜索量大、信噪比要求高的缺点，能够迅速检测出图像中的运动目标，且速度检测范围大，具有较好的实用性。最后，利用仿真和实测数据证明了文中理论分析的正确性和所提方法的可行性。Abstract: The moving target detection based on multiple azimuth resolution images is proposed for Ground Moving Target Indication (GMTI) in the low frequency Synthetic Aperture Radar (SAR). This paper analyzes the characteristics of static and moving target on a seriers of images with different azimuth resolutions first. The azimuth 3 dB Impulsion Response Width (IRW), range smearing distance and the unitary energy are used to distinguish moving target from static targets. Then, the moving target detection algorithm is presented based on these characteristics. This algorithm has lower computation load and lower Signal-to-Noise Ratio (SNR) and can detect the moving target quickly. The range of velocity detection is wide, which is suitable for practice. Both simulation and real data experiment illustrate the effectiveness of this algorithm.
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