摘要
提出了一种基于兴趣区检测的地面目标识别方法。根据目标模型的有关几何形状和热辐射知识,采用自上而下的计算模型,计算所提取的基元特征的显著性,并根据基元特征的显著性的大小确定出注视点及相应的兴趣区,然后对兴趣区中的图像进行分割,并利用模型知识对分割图像进行识别。该方法对已有的红外目标图像系列取得了很好的识别效果,提高了识别精度和弱小目标检测识别的能力。
A recognition method of ground target based on detecting the region of interest (ROI) was proposed in this paper. Fist, with Top-Down computation model, the salience of the extracted features was computed according to prior knowledge about the metric shape and thermal characteristics of the target. Second, the ROIs were determinated according to the salience of the features. Finally, the segmented images of the ROIs can be obtained and recognized with the prior model knowledge. The proposed method achieved much better recognition result on the real infrared image series, and improved the location precision and the capability for detecting and recignizing the small weak target.
出处
《红外技术》
CSCD
北大核心
2004年第3期33-36,共4页
Infrared Technology