Research On Real-time Image Processing System Of Passive Multi-spectral Scanning Early Warning System

Setting air defense identification zone in the East China Sea, marks China’searly warning to the external threat has entered a new stage and shows theimportance of early warning in the national defense field. Radar is used as an activedetection equipment, taking the main task in the early warning work. But it’s difficultto overcome the shortcomings. As a supplementary means of radar, optical passiveearly warning system has received extensive concern and attention. Real-time imageprocessing system is the core of the optical passive warning systems and the relatedresearch is divided into hardware and software algorithms. In recent30years, digital image data processing technology has been developed rapidly. Thehardware is faster and better integrated in the direction of development. For thesoftware algorithm, there has been a lot of high efficiency method forengineering applications. These has established solid foundation for the developmentof optical passive warning system.Researching on real-time image processing system of multi-spectral scanningpassive early warning system was the main task in this paper. The main contentsincluded the following. First, according to the characteristics of the “combining lineand surface” imaging mode that line array detector circle scanning is the mainmode, it proposed new early warning strategy and image processing mechanism.Second, the target detection and recognition algorithm was discussed based on digital image processing technology and provided a theoretical basis in order torealize the system function. Finally, the specific hardware platform was designed toachieve the target detection and recognition and complete the system function inreal-time.Passive multi-spectral scanning early warning system was able to finish targetdetection and recognition by multiple spectrum optical detectors in a certain strategy.An infrared linear array detector and a visible light surface array detector wascomposed as an example for the research on passive multi-spectral scanning earlywarning system in this paper. For different spectral detector applications, it proposed“combining line and surface” detection methods. Different early warning levelsignals of was given based on multilevel early warning method for the identificationof the “combining line and surface” imaging mode. Combined with thecharacteristics of line array infrared detector and high rate and huge data of imageprocessing hardware platform, image sub frame was defined to process thesegmentation of wide field image. Using multi-processor internal processing methodto replace the original method of waiting, it solved the problem by targetsegmentation. It proposed a novel target detection algorithm based onone-dimensional local filter for the image captured by infrared array detector.Through changing the parameters, it was able to detect different shapes. Theproposed filter solving the traditional2D filter isotropic problems was more flexiblein two-dimensional space scale. A classification method based on support vectormachine using sufficient dimension reduction algorithm was proposed to identify thetargets. The dimension of feature and the number of vectors was reducedthrough sufficient dimension reduction theory. Sufficient dimensionreduction method didn’t affect the effective features at the sametime the dimension was reduced to the lowest and the method was more scientificcompared with other features simplified method. According to technical indicators ofmultispectral warning system, a digital image processing system based onmulti-processor parallel architecture was designed. Task allocation and information exchange between multi-cores was used to improve the processing speed of thesystem. The PCI-e communication unit was integrated in the digital imageprocessing system instead of using the control chip to realize the communicationprotocol to realize the implementation of high speed data communication.The feasibility and correctness of the algorithm and the real-time imageprocessing system hardware platform was verified by several experimental.Finally, the evaluation on the performance of the system was analyzed throughthe experiment on some images including aerial target. The experimental resultsshow that, the algorithm and the hardware design of the system to meet therequirement of the early warning system and achieve the expected goal.