一种红外弱小目标的检测方法  

Small Target Detection Based on Target Model in IR Images

作　　者：刘建华[1] 毕笃彦[1] 刘亲社[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《激光与红外》2008年第7期732-736,共5页Laser & Infrared

摘　　要：提出了一种基于小目标模型的检测方法。该算法对图像中极大值点为中心的局部区域进行能量判别,可以有效地检测出目标;对算法的性能进行了分析。实质是综合利用目标的局部对比度和空间大小两个信息,因此可以更有效地提高目标的信噪比,提高检测概率。通过对实际红外图像和仿真图像的检测实验,都证明了算法的有效性。Proposed one detection method based on target model. The algorithm discriminated maximum points in the local area as the center of energy and can effectively detect targets;carried on the analysis to the algorithm performance. Comprehensive utilization of the real objectives of the local contrast and spatial size of two messages, it can be more effective in raising objectives of the SNR and improve detection probability. Through to the actual infrared imagery and the simulation image＇s examination experiment,has proven the algorithm validity.

关 键 词：小目标检测 目标模型 红外图像 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]