Study on the spectral imaging technology of adaptive classification | |
Xin, Wu1,2; Li, Libo2; Gao, Xiaohui2; Wu, Yinhua2; Wu, Chenyu1,3 | |
2019 | |
会议名称 | Applications of Digital Image Processing XLII 2019 |
会议录名称 | Applications of Digital Image Processing XLII |
卷号 | 11337 |
会议日期 | 2019-08-12 |
会议地点 | San Diego, CA, United states |
出版者 | SPIE |
产权排序 | 1 |
摘要 | The spectral imaging technology of adaptive classification is a new spectral technology based on traditional spectral imaging technology. Based on the traditional imaging spectrometer, the following research is carried out in this paper: Firstly, this paper introduces the development and theory of the spectral imaging technology of adaptive classification, then designs the optical system of the adaptive feature-specific spectral imaging classifier, and finally verifies the performance of the system through classifying experiment. The experimental results show that the classifying accuracy and speed of the information processing of the adaptive feature-specific spectral imaging classifier are better than those of the traditional imaging spectrometers. © 2019 SPIE. |
关键词 | spectral imaging optical design classifying experiment material classification |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1117/12.2547063 |
收录类别 | EI ; CPCI |
ISBN号 | 9781510629677 |
语种 | 英语 |
ISSN号 | 0277786X;1996756X |
WOS记录号 | WOS:000526705900029 |
EI入藏号 | 20200408062483 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/93224 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing; 100000, China; 2.Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shanxi; 710000, China; 3.Institute of Semiconductors, Chinese Academy of Sciences, Beijing; 100000, China |
推荐引用方式 GB/T 7714 | Xin, Wu,Li, Libo,Gao, Xiaohui,et al. Study on the spectral imaging technology of adaptive classification[C]:SPIE,2019. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Study on the spectra(517KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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