A new feature level fusion and moving target tracking method for IR and visible images is proposed.
提出了一种红外与可见光图像的新颖的特征级融合与运动目标跟踪方法。
Image fusion can be divided into three levels, pixel level fusion, feature level fusion and the decision-making level fusion.
图像融合可以分为三个层次：像素级融合、特征级融合和决策级融合。
Next the general method of applying fuzzy ARTMAP model to feature level fusion is also expounded and we put forward a learning algorithm with adaptive vigilance parameters for each cluster.
继而研究了模糊artmap网络用于特征层融合识别的方法，并提出了一种网络警戒参数自适应调整新算法。
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