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基于多传感器决策级融合的远距离目标检测
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【西药学专科毕业论文】【关键词】 可见光图像序列； 红外图像序列； 决策级融合； DS证据 理论Abstract: Aim at the problem of detecting for long distance targets with visual and thermal infrared image sequences, a method of targets detection based on multisensor decision level fusion was developed. The algorithm firstly acquires targets detection from each sensor by frame difference accumulation and local intensity image; and then fuses the results using “and” logic to reduce the part of redundant information. Then extracts the multiple features of these target candidate areas in fusion detection result from the two sensor images as the evidence to eliminate redundant information. Finally, to distinguishe the false target from real target using DS evidence theory based on multiple features, and send the recognition result to the target detection output of the whole system. The experimental results demonstrated that this approac
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