An Intensity-Space Domain CFAR Method for Ship Detection in HR SAR Images
An Intensity-Space Domain CFAR Method for Ship Detection in HR SAR Images
复制标题
HR SAR 图像中船舶检测的强度空间域 CFAR 方法
DOI：
10.1109/lgrs.2017.2654450
复制
发表时间：
2017-04-01
影响因子：
4.8
通讯作者：
Chen, Liang
中科院分区：
文献类型：
--
作者：
Wang, Chonglei;Bi, Fukun;Chen, Liang
合成孔径雷达(SAR)是舰船检测中不可缺少且应用广泛的传感器。针对高分辨率合成孔径雷达在图像中引入更多空间细节的问题，提出了一种基于强度空间域的恒虚警率(CFAR)舰船检测器。该方法将每个像素的亮度和像素之间的相关性融合为一个特征，即IS指数。所有的检测过程都以IS指数的计算和分析为中心。首先，新的变换将图像映射到新的IS域。像船和尾流这样的结构在IS领域得到了增强。其次，CFAR检测器拾取高的IS索引像素。第三，检查目标特征链以筛选出错误的候选目标像素。此外，还采用了增强的尾迹来改善检测结果。在真实SAR图像上的实验证明，该变换确实增强了这些结构，整个算法具有良好的性能，特别是在低对比度目标的情况下。
Synthetic aperture radar (SAR) is an indispensable and extensively used sensor in ship detection. As high-resolution SAR introduces more spatial details into images, this letter proposes an intensity-space (IS) domain constant false alarm rate (CFAR) ship detector to make good use of this information. The method fuses intensity of each pixel and correlations between pixels into one characteristic, i.e., IS index. All the detection procedures center on the calculation and analysis of IS index. First, a new transform maps an image into a new IS domain. Structures like ships and wakes are enhanced in IS domain. Second, a CFAR detector picks up high IS index pixels. Third, a chain of target features is checked to screen out false candidate target pixels. Also, enhanced wakes are taken to improve detection results. Experiments on real SAR images validate that the proposed transform does enhance these structures and the whole algorithm is of good performance, especially in the case of low-contrast targets.