Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing
文献类型:期刊论文
作者 | Liu, Hong2,3,4,5; Hou, Xingsong4; Hu, Bingliang2,3,5; Yu, Tao2,3,5; Zhang, Zhoufeng3,5; Liu, Xiao3,5; Liu, Jiacheng2,3,5; Wang, Xueji3,5; Zhong, Jingjing2; Tan, Zhengxuan1 |
刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING |
出版日期 | 2022-12-17 |
卷号 | 43期号:19-24页码:6957-6978 |
ISSN号 | 0143-1161;1366-5901 |
DOI | 10.1080/01431161.2022.2150395 |
产权排序 | 1 |
英文摘要 | In the design and research of an unmanned aerial vehicle-borne hyperspectral imager with an acousto-optic tunable filter (AOTF), the depth of the field range of the imaging objective lens is fixed, the spectral range of 400-1000nm is wide, and the AOTF crystal has different deflection angles for diffracted light of different wavelengths. These features all cause problems such as image blurring and spectral drifts. Therefore, we propose a solution using a tunable zoom lens and multi-modal spectrum registration to solve these problems. We also propose an improved image definition evaluation function using the zoom lens to obtain clear horizontal lines and blurred vertical lines and, thereby, hope to overcome image blurring in an AOTF spectrometer. The zoom parameters corresponding to the clear image in each spectral segment of the AOTF spectrometer can be determined rapidly and accurately. However, it is difficult to establish a mathematical model of the drift, using wavelength as a variable, to compensate the drift due to the clear image of each spectrum obtained using the zoom lens. The calibration method completes the registration of the spectral data cube composed of clear images, solving the problem of spectral band drift. Moreover, it has been verified through UAV-borne hyperspectral imaging that image blurring and spectral drift of the AOTF imaging spectrometer were significantly reduced, providing opportunities for the application and research of AOTF-based hyperspectral imagers in more fields, such as remote sensing. |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:000899436400001 |
源URL | [http://ir.opt.ac.cn/handle/181661/96289] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
通讯作者 | Hou, Xingsong |
作者单位 | 1.Univ Miami, Dept Comp Sci, Miami, FL USA 2.Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing, Peoples R China 3.Chinese Acad Sci, Key Lab Spectral Imaging Technol, Xian, Peoples R China 4.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian, Peoples R China 5.Chinese Acad Sci, Key Lab Spectral Imaging Technol, Xian Inst Opt Precis Mech, Xian, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Hong,Hou, Xingsong,Hu, Bingliang,et al. Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2022,43(19-24):6957-6978. |
APA | Liu, Hong.,Hou, Xingsong.,Hu, Bingliang.,Yu, Tao.,Zhang, Zhoufeng.,...&Tan, Zhengxuan.(2022).Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing.INTERNATIONAL JOURNAL OF REMOTE SENSING,43(19-24),6957-6978. |
MLA | Liu, Hong,et al."Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing".INTERNATIONAL JOURNAL OF REMOTE SENSING 43.19-24(2022):6957-6978. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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