| ISAR图像质量评估方法 |
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| 引用本文： | 句彦伟,张燕. ISAR图像质量评估方法[J]. 系统工程与电子技术, 2015, 37(2): 297-303. DOI: 10.3969/j.issn.1001-506X.2015.02.11 |
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| 作者姓名： | 句彦伟 张燕 |
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| 作者单位： | 1. 中国电子科技集团公司第十四研究所, 江苏 南京 210039;2. 解放军理工大学理学院, 江苏 南京 211107 |
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| 基金项目： | 国家安全重大基础研究(973)项目(61320103-2);国家高技术研究发展计划(863计划)军口部分(2013AA8105036)资助课题 |
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| 摘 要： | 首先,基于信号分解、超分辨以及时频分析技术,提出了一种基于多种处理算法提高逆合成孔径雷达(inverse synthetic aperture radar， ISAR)成像质量的方法;其次,重点针对目前ISAR图像难以定量评估的问题,提出了一个图像质量定量评估模型,该模型图像质量评估得分由客观评估得分和主观评估得分两部分组成,每部分又由多种评价准则组成,可以从不同方面进行详细客观评价,也给出了图像质量评估模型在实际应用中需要注意的问题;最后,仿真试验验证了模型的合理性,实测数据证明了评估模型的有效性。
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| 关 键 词： | 逆合成孔径雷达成像 信号分解 超分辨 图像质量评估 |
Research on ISAR image quality evaluation |
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| JU Yan-wei;ZHANG Yan. Research on ISAR image quality evaluation[J]. System Engineering and Electronics, 2015, 37(2): 297-303. DOI: 10.3969/j.issn.1001-506X.2015.02.11 |
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| Authors: | JU Yan-wei ZHANG Yan |
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| Affiliation: | 1. Nanjing Research Institute of Electronics Technology, Nanjing 210039, China; ;2. School of Science， PLA University of Science and Technology, Nanjing 211107, China |
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| Abstract: | Firstly, an imaging method is proposed to improve inverse synthetic aperture radar (ISAR) imaging quality based on signal decomposition, super-resolution technique and time-frequency analysis technique. Secondly, in order to resolve the image quality evaluation problem, an evaluation model is presented, which is composed of two parts, each part consisting of several evaluation criteria. Moreover, a list of several important aspects is made when the model is applied. Finally, the effectiveness of the proposed approach is demonstrated by processing the simulation data and real data. |
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