基于峰值区域的高分辨率极化SAR舰船目标特征分析与鉴别

许成斌; 周伟; 丛瑜; 关键

doi:10.12000/JR14093

基于峰值区域的高分辨率极化SAR舰船目标特征分析与鉴别

doi: 10.12000/JR14093

(海军航空工程学院电子信息工程系烟台 264001)

基金项目:

国家自然科学基金(61201445, 61179017)和国防预研基金资助课题

详细信息

作者简介:
许成斌(1990-),男,黑龙江伊春人,2012年获哈尔滨工程大学学士学位,同年进入海军航空工程学院攻读硕士学位,研究方向为遥感图像解译与分析.E-mail:xuchengbin333@126.com周伟(1980-),男,湖北黄石人,于海军航空工程学院获得博士学位,现为海军航空工程学院信息融合研究所讲师,主要研究方向为多源信息融合、侦察图像处理、目标检测与识别.E-mail:yeaweam@gmail.com丛瑜(1982-),女,山东招远人,于国防科技大学获得硕士学位,现为海军航空工程学院信息融合研究所讲师,主要研究方向为数字图像处理.E-mail:congyu19820122@163.com关键(1968-),男,辽宁锦州人,教授,博士生导师,主要研究方向为雷达目标检测与跟踪、侦察图像处理和信息融合.获全国优秀博士学位论文奖,新世纪百千万人才工程国家级人选.E-mail:guanjian96@tsinghua.org.cn

通讯作者:
关键guanjian96@tsinghua.org.cn

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出版历程
- 收稿日期: 2014-06-19
- 修回日期: 2014-10-19
- 网络出版日期: 2015-06-28

Ship Analysis and Detection in High-resolution Pol-SAR Imagery Based on Peak Zone

(Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)

摘要

摘要: 针对高分辨率SAR 舰船目标检测中存在类似舰船的干扰目标造成虚警的问题,该文设计了一种峰值区域极化特征提取方法.该方法通过对比水面船只和干扰目标峰值区域Krogager 分解中螺旋体散射比重的差异,对两类目标进行了鉴别分析.利用RADARSAT-2 的C 波段全极化数据对方法的有效性进行验证,验证结果表明该方法能有效地鉴别船只目标与岛屿、防浪堤、海面平台、桥梁等干扰目标,减少SAR 舰船目标检测中存在的虚警.
- 合成孔径雷达(SAR) /
- 极化分解 /
- 高分辨率 /
- 舰船检测
Abstract: To deal with the problem of false alarm in the ship detection, a method base on proportion of spiral scattering in the peak zone is proposed. By comparing the proportion of spiral scattering in the peak zone, which is available from Krogager decomposition, the ships and interfering targets are identified and analyzed. The effectiveness of this method is justified with C-band full-polarization data from RADARSAT-2. The result show that this method can discriminate ships from interfering targets such as island, water-break, nautical platforms and bridges, thus reducing the false alarm rate of ship targets detection in SAR images.
- Synthetic Aperture Radar (SAR) /
- Polarization decomposition /
- High-resolution /
- Ship detection

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参考文献(15)

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