摘要
当目标处于复杂背景中时,红外弱小目标检测将变得更加困难。背景预测是红外图像弱小目标检测的一种重要方法,背景预测模型中权值矩阵的确定策略对于预测和检测效果具有决定性的影响。定义了被预测点周围的三种不同邻域,探讨了不同邻域背景像素点预测的效果,并比较了不同邻域以及中邻域和多邻域的检测性能。仿真实验结果表明,中邻域具有比近邻域和远邻域更好的预测和检测性能,此外,中邻域与多邻域相比,在保证检测性能的同时具有更快的运算优势。
Detection of infrared dim small target becomes rather difficult if the target lies in a complicated background. Background prediction is one of the important methods for the detection of dim small target in infrared image, and the determination of weight matrix in model of background prediction is of great importance to the performance of prediction and detection. Three different neighborhoods around the predicted pixel are defined, prediction effects of different neighborhoods are discussed and detection performance is compared. Simulation indicated that the detection performance using middle neighborhood is more efficient and middle neighborhood approach is less computationally expensive than multi-neighborhood method.
出处
《激光与红外》
CAS
CSCD
北大核心
2008年第10期1049-1052,共4页
Laser & Infrared
关键词
弱小目标
背景预测
邻域
评估
dim small target
background prediction
neighborhood
evaluation
