Real-Time detection and recognition algorithm for hyperspectral small targets on ocean | |
Chen, Jiaxin1,2; Zhang, Geng1; Hu, Bingliang1 | |
2018 | |
会议日期 | 2018-05-22 |
会议地点 | Beijing, China |
卷号 | 10846 |
DOI | 10.1117/12.2503901 |
英文摘要 | Small anomaly detection in ocean evironment is an important problem in airborne remote sensing image processing, especially in hyperspectral data. Traditional algorithms solve this problem by finding the pixels have different appearance pattern with the background. However, these algorithm are not suitable for real-Time applications. In this paper, we propose to learn the hyperspectral model of the seawater and localize the targets whose spectral feature do not well fit the trained model. This algorithm only uses historical information and is suitable to be used on airborne line-scanning data. Since hyperspectral property of ocean water is relatively stable, we use Gaussian mixture model to encode the statistical features of the background. Experimental results demonstrated that the proposed algorithm significantly improves processing efficiency in comparison with conventional methods, and maintains high accuracy with regard to other methods. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. |
产权排序 | 1 |
会议录 | Optical Sensing and Imaging Technologies and Applications |
会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 0277786X;1996766X |
ISBN号 | 9781510623347 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/31144] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 17 Information Avenue High-Tech Zone, Xi'an, China; 2.University of Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Chen, Jiaxin,Zhang, Geng,Hu, Bingliang. Real-Time detection and recognition algorithm for hyperspectral small targets on ocean[C]. 见:. Beijing, China. 2018-05-22. |
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