This paper studies the algorithms of sea surface target detection in three aspects.
本文主要从三个方面研究和分析海面目标检测算法。
Increase of detection range and fast precision tracking are main difficulties in weak aerial target detection for High Frequency Surface Wave Radar (HFSWR).
增大探测距离、快速精确跟踪是高频地波雷达探测飞行小目标所面临的主要困难。
Different temperatures of infrared target can influence the detection distance, and the surface temperature can be reduced by stealth technologies.
红外目标温度的高低影响着被发现的距离，隐身技术可以降低目标的表面温度。
The laser backscattering polarization characteristics of rough surface are investigatedin this paper, it is a fundamental issue to laser detection, target recognition and other fieldsof study.
粗糙表面激光回波偏振特性是激光探测、目标识别等领域的一个重要研究内容，它对激光雷达、红外探测和目标识别等遥感设备的优化设计和性能改善有很强的促进作用。
Sea clutter is the undesired radar echoes from sea surface. The existence of sea clutter contribute a serious disturbance to the target detection performance of radar.
海杂波是海面反射的雷达回波，海杂波的存在严重干扰了雷达对海面目标的检测性能。
It make a target of fast intellective damage detection. Depended on concurrent sensor array of 4 CCD, the system collects the surface image data of the bridge cable, and sends the data to DSPs.
所研制的系统针对桥梁拉索结构的特点，构建出桥梁拉索爬行机构，采用4个CCD摄像机组成了并行式图像采集阵列，实时的将同一时刻拉索表面一周的视频图像数据传送到缺陷检测处理系统中。
It make a target of fast intellective damage detection. Depended on concurrent sensor array of 4 CCD, the system collects the surface image data of the bridge cable, and sends the data to DSPs.
所研制的系统针对桥梁拉索结构的特点，构建出桥梁拉索爬行机构，采用4个CCD摄像机组成了并行式图像采集阵列，实时的将同一时刻拉索表面一周的视频图像数据传送到缺陷检测处理系统中。
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