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基于蜕化决策树的红外目标检测

Laser & Infrared(2010)

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Abstract
针对复杂背景下单帧红外图像中的弱小目标检测的问题,提出一种基于蜕化决策树的检测算法。该算法通过提取红外小目标梯度对比度、邻域灰度分布等多个统计特征,充分利用了各个特征的互补作用,达到了高检测概率和低虚警率。通过对实测数据进行仿真,结果表明该方法能有效检测红外弱小目标。
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Key words
degenerate decision tree,classifier,Asymmetric AdaBoost
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