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Real-Time detection and recognition algorithm for hyperspectral small targets on ocean
Chen, Jiaxin1,2; Zhang, Geng1; Hu, Bingliang1
2018
会议名称International Symposium on Optoelectronic Technology and Application 2018: Optical Sensing and Imaging Technologies and Applications 2018, OTA 2018
会议录名称Optical Sensing and Imaging Technologies and Applications
卷号10846
会议日期2018-05-22
会议地点Beijing, China
出版者SPIE
产权排序1
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.
作者部门光谱成像技术实验室
DOI10.1117/12.2503901
收录类别EI
ISBN号9781510623347
语种英语
ISSN号0277786X;1996766X
EI入藏号20185206302279
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/31144
专题光谱成像技术实验室
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]:SPIE,2018.
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