Infrared small target detection using directional highpass filters based on LS-SVM
Infrared small target detection using directional highpass filters based on LS-SVM
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DOI：
10.1049/el:20092206
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发表时间：
2009-01
影响因子：
1.1
通讯作者：
P. Wang;J. Tian;Ch.-Q. Gao
中科院分区：
文献类型：
--
作者：
P. Wang;J. Tian;Ch.-Q. Gao
提出了一种基于最小二乘支持向量机（LS-SVM）的红外小目标检测方法。最小二乘支持向量机模型被应用于生成行和列方向高通模板滤波器。分别用这两种模板对原始红外图像进行滤波，并将滤波后的两幅图像进行融合，提取出可能的小目标。实验结果表明，该方法具有较好的鲁棒性和有效性.
An infrared small target detection method based on the least squares support vector machine (LS-SVM) is proposed. The LS-SVM model is applied to generate a row and a column directional highpass template filters. By filtering the original infrared image with the two templates, respectively, and fusing the two filtered images, the possible small target can be extracted. Experimental results demonstrate that the presented method is robust and efficient.