摘要
针对UWBSAR图像中的非均匀背景目标检测问题,提出了一种CFAR检测方法。该方法运用变量索引和秩序统计量CFAR检测,可以在杂波背景的非均匀区域,自动根据检测单元的位置选择合适的估计杂波功率的样本,能使检测器在多目标环境和不规则非均匀背景交界处保持CFAR性能。试验结果表明,该方法在UWBSAR非均匀背景中的目标检测性能,优于传统的单元平均CFAR检测算法。
A CFAR target detection method is proposed for nonhomogeneous environment in UWBSAR image with variability index and order-statistics CFAR detection. The method can select appropriate cells in non-homogenous regions for clutter environment power estimation. The designed detector can keep CFAR performance in multi-targets environment and irregular boundary of non-homogenous regions. Experimental results show that the novel method can offer better detection performance than traditional cell average CFAR detection methods.
出处
《遥感学报》
EI
CSCD
北大核心
2006年第3期345-349,共5页
NATIONAL REMOTE SENSING BULLETIN
基金
国家自然科学基金资助项目(60402034)
"十五"国防预研资助项目(41307020203)
