基于混合融合策略的双波段红外小目标检测方法

双波段红外图像的小目标融合检测是红外自动寻的系统的关键技术和研究热点之一。为了建立有效的融合检测结构，对基于布尔逻辑的融合检测方法进行了分析，并从小目标红外成像原理出发，提出了一种基于与逻辑和局部灰度的混合融合检测算法。首先，分别对单波段的红外图像进行阈值分割；其次，对两个波段的检测结果进行与融合；再次，对与融合之外的目标点进行局部灰度判别，进一步提高检测概率；最后，根据融合结果调节第一步中局部检测器的分割阈值，以优化局部检测器。实验仿真结果表明，该算法有效地提高了双波段红外的检测能力，且算法结构简单、运算速度快，具有较强的实用性。

Dual-band infrared dim target detection based on hybrid fusion algorithm

Dim target fusion detection in dual-band IR image is one of the key technology and research hotspot of infrared homing system. In order to establish an effective fusion-detection structure, the Boolean logic rules based fusion algorithm was analyzed. According to the principle of dim infrared target imaging, a hybrid fusion detection algorithm with AND logic and local gray was proposed based on the full use of local gray feature of dim target. First of all, infrared image of each band was segmented. Secondly, the detection results of two bands were fused using AND logic. Thirdly, to improve the probability of detection, the point beyond AND logic was determined using local gray feature. Finally, in order to optimize the local detector, the segmentation threshold in the first step was adjusted based on the fusion results. Simulation results show that the algorithm can improve the dual-band infrared detection capabilities effectively. Further, the algorithm features simple architecture and high computation speed, which makes it highly practical.