高分辨率SAR图像中多目标检测的双步快速CFAR方案

C. Jung, Woo-Young Song, Soo H. Rho, Jung Kim, Jung T. Park, Y. Kwag
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引用次数: 9

摘要

针对SAR图像中的多目标检测问题,提出了一种新的双步快速CFAR算法。使用传统的多单元CFAR (MC-CFAR)检测器来寻找潜在的目标区域。MC-CFAR采用快速搜索的方法,将CFAR滑动窗口移动几个单元,以减少计算量,并且可以有效地减少测试单元附近的小型虚警。对于最终的目标判定,基于单细胞的CFAR检测仅应用于预处理后的潜在目标区域。利用真实sar图像,将CFAR方案与传统方法在计算时间和虚警率方面进行了比较,结果表明CFAR方案的计算速度更快,虚警率更低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Double-step fast CFAR scheme for multiple target detection in high resolution SAR images
A new double-step fast CFAR scheme is proposed for multiple target detection in SAR images. The conventional multiple-cell based CFAR (MC-CFAR) detector is performed to find a potential target area. MC-CFAR carries out a quick search by which the CFAR sliding window is shifted by several cells for the reduced computational loads and it can also effectively reduce the small sized false alarm in the vicinity of the test cell. For the final target decision, the single-cell based CFAR detection is only applied to the pre-processed potential target areas. Using real-SAR image, the proposed CFAR scheme is compared with the conventional method in the sense of computational time and false alarm rate, which shows the faster computational speed and the lower false alarm rate.
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