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.