针对扫描型红外图像数据量大、背景复杂、横纹杂波干扰大和目标图像信噪比低等特点，提出一种适用于360°全方位扫描型红外图像目标检测的实时处理算法。算法预处理部分消除横纹杂波，实现目标增强和背景抑制；然后采用两级特征提取，大幅降低图像的数据量；最后根据帧间图像灰度特征相关的思想，完成扫描型红外图像目标检测的功能。根据本文算法的特点，以DSP+FPGA为核心处理器设计了具有实时处理能力强，数据传输容量大等优点的图像处理板。实验结果表明，本文算法是有效、可行的，图像处理板稳定、可靠，能满足扫描型红外图像实时目标检测的需求。

Scanning infrared imagery has the characteristics of giant data, complex background, heavy clutter and low SNR. A real-time processing method is proposed to detect targets on all-azimuth scanning infrared imagery. The proposed method firstly suppresses the clutter and backgrounds to enhance the target by preprocess. Then it adopts two level feature extraction to dramatically decrease the image data. At last according to the idea of inter-frame image gray-level dependencies, accomplishes the target detection of scanning infrared images. Image processing card is designed based on DSP&FPGA processor with the advantage of real-time data processing and data transmission. The results show that the method is efficient and viable, the image processing card works reliably and stably, which can satisfy with the need of real-time target detection of scanning infrared images.