An effective automatic target detection algorithm based on wavelet transform,which takes advantage of the localization and the orientation of wavelet analysis,is proposed.The algorithm detects the target in the vertic...An effective automatic target detection algorithm based on wavelet transform,which takes advantage of the localization and the orientation of wavelet analysis,is proposed.The algorithm detects the target in the vertical component of the wavelet transformation of the image.After mutual energy combination and sea clutter suppression through spatial weighting and thresholding,the target is located through maximum energy determination and its size is indicated through similarity measurement function of two overlapping windows.Experiment results show that the target can be detected by the algorithm in a single image frame and the better efficiency can be obtained also under the complicated backgrounds of existing the disturbances of cloud layer and fish scale light.展开更多
针对雷达目标高分辨距离像(High-Resolution Range Profile,HRRP)识别中等角域划分造成的目标散射特性失配问题,提出一种基于核主分量分析重构的雷达目标识别方法。该方法在等角域划分下利用核主分量分析提取每个角域内HRRP的特征子空间...针对雷达目标高分辨距离像(High-Resolution Range Profile,HRRP)识别中等角域划分造成的目标散射特性失配问题,提出一种基于核主分量分析重构的雷达目标识别方法。该方法在等角域划分下利用核主分量分析提取每个角域内HRRP的特征子空间,再将测试样本投影到各角域特征子空间中进行重构,最后通过计算最小重构误差来判别测试样本的类别。基于5种飞机目标的仿真实验表明,核主分量分析重构方法可以松弛角域划分范围,降低角域划分的精度要求,相比主分量分析重构方法和最大相关系数模板匹配法有效提高了识别性能。展开更多
文摘An effective automatic target detection algorithm based on wavelet transform,which takes advantage of the localization and the orientation of wavelet analysis,is proposed.The algorithm detects the target in the vertical component of the wavelet transformation of the image.After mutual energy combination and sea clutter suppression through spatial weighting and thresholding,the target is located through maximum energy determination and its size is indicated through similarity measurement function of two overlapping windows.Experiment results show that the target can be detected by the algorithm in a single image frame and the better efficiency can be obtained also under the complicated backgrounds of existing the disturbances of cloud layer and fish scale light.
文摘针对雷达目标高分辨距离像(High-Resolution Range Profile,HRRP)识别中等角域划分造成的目标散射特性失配问题,提出一种基于核主分量分析重构的雷达目标识别方法。该方法在等角域划分下利用核主分量分析提取每个角域内HRRP的特征子空间,再将测试样本投影到各角域特征子空间中进行重构,最后通过计算最小重构误差来判别测试样本的类别。基于5种飞机目标的仿真实验表明,核主分量分析重构方法可以松弛角域划分范围,降低角域划分的精度要求,相比主分量分析重构方法和最大相关系数模板匹配法有效提高了识别性能。
