Informative and compressed features for aircraft detection in object recognition system
文献类型：期刊论文
| 作者 | Zhong, Jiandan1,2; Wu, Qinzhang1; Lei, Tao1; Yao, Guangle1,2; Sun, Kelin1 |
| 刊名 | Proceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016
 |
| 出版日期 | 2016 |
| 卷号 | 10033页码:1003331 |
| 关键词 | Classification (Of Information) Feature Extraction Image Processing Matrix Algebra Object Detection Object Recognition Training Aircraft |
| ISSN号 | 0277-786X |
| DOI | 10.1117/12.2243777 |
| 文献子类 | C |
| 英文摘要 | It is a challenging task to build efficient and robust model for aircraft detection. In our object recognition system, aircraft detection is a main task, which faces various problems, such as blur, occlusion, and shape variation and so on. Existing approaches always require a set of complex classification model and a large number of training samples, which is inefficient and costly. In order to deal with these problems, we employ location based informative features to reduce the complexity of training data. With the employment of location based informative features, simple classifiers will manifest high performance instead of complex classifier which requires more complicated strategy for training. Further, our system needs to update the model frequently which is similar to online learning method, in order to reducing computational complexity, a very sparse measurement matrix is applied to extract features from feature space. The construction of this sparse matrix is based on the theory of sparse representation and compressed sensing. From the experimental results, the detection rate and cost of our proposed method is better than other traditional method. © 2016 SPIE. |
| 语种 | 英语 |
| WOS记录号 | WOS:000391694700107 |
| 资助机构 | Chengdu University of Information Technology ; Chinese Academy of Sciences Chengdu Institute of Computer Applications ; International Association of Computer Science and Information Technology ; Sichuan Province Computer Federation |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/8492]  |
| 专题 | 光电技术研究所_光电探测技术研究室（三室） |
| 作者单位 | 1.Institute of Optics and Electronics Chinese Academy of Sciences, Chengdu 2.610209, China 3.University of Electronic Science and Technology of China, Chengdu 4.610054, China |
| 推荐引用方式 GB/T 7714 | Zhong, Jiandan,Wu, Qinzhang,Lei, Tao,et al. Informative and compressed features for aircraft detection in object recognition system[J]. Proceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016,2016,10033:1003331. |
| APA | Zhong, Jiandan,Wu, Qinzhang,Lei, Tao,Yao, Guangle,&Sun, Kelin.(2016).Informative and compressed features for aircraft detection in object recognition system.Proceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016,10033,1003331. |
| MLA | Zhong, Jiandan,et al."Informative and compressed features for aircraft detection in object recognition system".Proceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016 10033(2016):1003331. |
入库方式： OAI收割
来源：光电技术研究所
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