Infrared Target Detection Based On DSP

Target detection and recognition technology on infrared image is an important part in modern photoelectron technology field. With good jamming performance, infrared imaging system can detect target through such obstacles as smoke, dust, fog, etc. and realize continuous passive detection day and night. So, infrared detection and recognition system can serve as a supplement to radar and other detection and it will play an important role in ship collision prevention, ship navigation safety, and Vessel Traffic Service.This dissertation has finished algorithm analysis and has designed the ship target detection system. Algorithm has been realized on the software and hardware, and ship target can be detection accurately. The first part of dissertation studied the algorithms of moving target detection in sea-background. By analysis and comparison the algorithms, the dissertation presented an algorithm, based on the Sobel operator and frame difference method. Considering the characteristics of infrared image, the frame difference algorithm is simple and easy to be realized by hardware. But the algorithm' anti-noise performance is not well while the signal-to-noise ratio is low. Compared with the point target, the moving ship target captured at intermediate range has certain edge characteristic. So by joining the edge detection algorithm and the frame difference the algorithm can obtain better anti-noise performance. By comparing several edge detection operators, it considered that the Sobel operator has higher processing speed and better performance and easier realized by DSP. In the second part, this dissertation analyzed the superiority of DSP in image processing and particularly introduced the application of EDMA in system. Based on the TMS320C6711 DSP,...