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| 基于目标红外特征与SIFT特征相结合的目标识别算法 | |
| 引用本文： | 王世亮,杨帆,张志伟,唐红梅.基于目标红外特征与SIFT特征相结合的目标识别算法[J].红外技术,2012,34(9):503-507. |
| 作者姓名： | 王世亮 杨帆 张志伟 唐红梅 |
| 作者单位： | 王世亮:河北工业大学信息工程学院, 天津 300401 杨帆:河北工业大学信息工程学院, 天津 300401 张志伟:河北工业大学信息工程学院, 天津 300401 唐红梅:河北工业大学信息工程学院, 天津 300401 |
| 基金项目： | 河北省科技支撑计划项目, 编号：10213565。 |
| 摘 要： | 为了解决传统的SIFT算法存在检测时间长,识别率低等问题,提出了一种基于目标红外特征与SIFT特征相结合的红外图像识别算法,该算法首先通过5个能反映红外目标初步信息且易实现的红外特征量进行初步识别,然后采用SIFT算法进行精确识别。通过三种飞机的红外图实验可以看出,将红外特征量与SIFT特征检测识别方法相结合,识别时间缩短0.06s,识别率有较大提高,达到98%以上。 |
| 关 键 词： | 目标特征 特征提取 图像分割 SIFT 目标识别 |
| 收稿时间： | 2012/6/4 |
A Target Recognition Method Based on Infrared Features and SIFT |
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| WANG Shi-liang,YANG Fan,ZHANG Zhi-wei,TANG Hong-mei.A Target Recognition Method Based on Infrared Features and SIFT[J].Infrared Technology,2012,34(9):503-507. | |
| Authors: | WANG Shi-liang YANG Fan ZHANG Zhi-wei TANG Hong-mei |
| Affiliation: | (School of Information Engineering,Hebei University of Technology,Tianjin 300401,China) |
| Abstract: | In order to solve the problem of long detecting time and low recognition rate in the traditional SIFT algorithm, an infrared image recognition algorithm based on the target infrared features combined with the SIFT features is proposed. The algorithm first uses 5 infrared characteristic quantities that can reflect the infrared target preliminary information to realize the initial recognition, and then use the SIFT algorithm for accurate identification. Through three kinds of aircraft infrared experiment it can be seen that combining the infrared characteristic with the SIFT feature detection method, the recognition time is shorten to 0.06 s, the recognition rate is improved to more than 98%, and the proposed method has good application value. |
| Keywords: | feature of objects feature extraction image segmentation SIFT target identification |
| 本文献已被 CNKI 等数据库收录！ | |