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。
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.
出处
《雷达学报（中英文）》
CSCD
2015年第3期367-373,共7页
Journal of Radars
基金
国家自然科学基金(61201445
61179017)
国防预研基金资助课题
关键词
合成孔径雷达(SAR)
极化分解
高分辨率
舰船检测
Synthetic Aperture Radar （SAR）
Polarization decomposition
High-resolution
Ship detection
