基于支持向量机的红外成像自动目标识别算法

本文针对实战中红外成像制导导弹面临的自动目标识别问题,提出了一种利用若干二维图像识别三维目标的自动目标识别算法,并引入支持向量机作为分类器．仿真试验结果表明,该算法能够成功地识别三维空间中任意角度的目标,很好地解决了许多二维识别算法难以解决的三维目标识别问题．同时,通过比较,证明该算法比传统识别算法拥有更高的识别率．

Infared Imaging Automatic Target Recognition Algorithm Based on SVM

In view of the issue of automatic target recognition met by infrared imaging guided missiles in the war, an automatic target recognition algorithm which uses several 2-D images to recognize 3-D targets is put forward and a Support Vector Machine is used as a classifier. The simulation experiment results have shown that the algorithm can recognize the target at any angle in the 3-D space successfully and can solve the 3-D target recognition problem which is difficult to be solved by many 2-D recognition algorithms. At the same time, compared with the traditional recognition algorithms, this algorithm has a higher target recognition ratio.