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引用次数: 1
摘要
本文提出了一种能够在非常低的信噪比(SNR)和信杂波比(SCR)下检测扩展目标(小目标和大目标)的新技术(Ostrovityanov和Basalov, 1985),具有高检测概率和低虚警概率。该方法基于对原始传感器图像的一些修正统计描述符(Gonzalez and Woods, 2002)和峰值图(Rihaczek and Hershkowitz, 2000)的计算。峰图是通过移位和卷积技术提取的(Perez Martinez et al., 2001)。实验结果也证明了该技术的质量。ARIES雷达(Perez等人,2002年)是一种水面海洋和海岸监视LFM-CW高分辨率雷达(HRR) (Wehner, 1995年),由INDRA SISTEMAS S.A.与马德里技术大学合作开发。西班牙国防部发起了这项研究。
New detection algorithm of extended targets for radar and electro optical sensors
This paper presents a new technique able to detect extended targets (small ones and big ones) (Ostrovityanov and Basalov, 1985), under very low signal to noise ratios (SNR) and signal to clutter ratios (SCR) with a high probability of detection and a low probability of false alarm. The method is based on the calculation of some modified statistical descriptors (Gonzalez and Woods, 2002), and the peak plots (Rihaczek and Hershkowitz, 2000) from raw sensor image. The peak plots are extracted by means of the shift-and-convolution technique (Perez Martinez et al., 2001). Experimental results are also presented demonstrating the quality of this technique. Experimental results have been obtained with ARIES radar (Perez et al., 2002), a surface marine and coast surveillance LFM-CW high resolution radar (HRR) (Wehner, 1995) developed by INDRA SISTEMAS S.A. in collaboration with the Technical University of Madrid. The Spanish Ministry of Defence has founded this research.