| 面向舰船目标检测的单通道复值SAR图像统计建模方法研究 |
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| 引用本文： | 冷祥光,计科峰,熊博莅,匡纲要. 面向舰船目标检测的单通道复值SAR图像统计建模方法研究[J]. 雷达学报, 2020, 9(3): 477-496. DOI: 10.12000/JR20070 |
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| 作者姓名： | 冷祥光 计科峰 熊博莅 匡纲要 |
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| 作者单位： | 国防科技大学电子科学学院 电子信息系统复杂电磁环境效应国家重点实验室 长沙 410073 |
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| 摘 要： | 合成孔径雷达(SAR)成像模式丰富、覆盖范围广、分辨率高,可以长期、动态、宏观地对海洋进行监测。在完全发展的相干斑假设条件下,传统单通道SAR图像舰船目标检测方法主要研究幅度信息。然而,其部分假设条件在高分辨率情形下并非严格成立,因此无法有效利用单通道SAR图像的相位或复值信息。该文面向舰船目标检测应用,将单通道复值SAR图像统计建模方法划分为幅度、相位和复值统计建模3个部分,首先简要综述了单通道SAR图像幅度统计建模方法,然后详细阐述了单通道SAR图像相位和复值统计建模方法,并重点介绍了其建模过程和参数估计方法。在此基础上,该文给出了作者研究小组在基于复值统计信息的单通道SAR图像舰船目标检测方面的部分最新研究结果,并分析展望了下一步研究方向。
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| 关 键 词： | 单通道SAR图像 舰船目标检测 复值信息 统计建模 |
| 收稿时间： | 2020-05-28 |
Statistical Modeling Methods of Single-channel Complex-valued SAR Images for Ship Detection |
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| LENG Xiangguang,JI Kefeng,XIONG Boli,KUANG Gangyao. Statistical Modeling Methods of Single-channel Complex-valued SAR Images for Ship Detection[J]. Journal of Radars, 2020, 9(3): 477-496. DOI: 10.12000/JR20070 |
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| Authors: | LENG Xiangguang JI Kefeng XIONG Boli KUANG Gangyao |
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| Affiliation: | State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | Synthetic Aperture Radar (SAR), which features rich imaging modes, wide coverage, and high resolution, is an effective technique for long-term, dynamic, and large-scale monitoring of the ocean. Under the assumption of fully developed speckle, traditional ship detection methods in single-channel SAR images focus mainly on amplitude information. Since conventional assumptions are not strictly true in high-resolution situations, this prevents the full investigation of phase or complex-valued information in single-channel SAR images. In this paper, with a focus on ship detection applications, we categories the methods used in the statistical modeling of single-channel complex-valued SAR images as amplitude-, phase-, or complex-valued-based. After providing a brief overview of amplitude statistical modeling methods, we focus on phase and complex-valued statistical modeling methods of single-channel SAR images, describing their modeling processes and parameter estimation methods. We then present the results of our recent ship detection research based on complex-valued statistical information in single-channel SAR images and make suggestions regarding future research. |
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| Keywords: | Single-channel SAR image Ship detection Complex-valued information Statistical modeling |
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