An Infrared image process approach for Military Aircraft Recognition with single training sample

Military target recognition task often faces the situation of lack of training samples. In some extreme conditions, each category of military target may have only one training sample. This paper proposed a method to deal with the military aircraft recognition task with only one training sample, first the HOG and Hu moment invariant features are extracted, and then sparse based classification framework is used as the recognition algorithm. Experimental results show that the proposed method can achieve better recognition accuracy rate than the existing methods when there is only one single training sample.