Full Text:  <298>

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CLC number: V447

On-line Access: 2023-01-21

Received: 2022-03-04

Revision Accepted: 2023-01-21

Crosschecked: 2022-06-08

Cited: 0

Clicked: 237

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Hao Wang

https://orcid.org/0000-0002-0383-7258

Huajian DENG

https://orcid.org/0000-0002-6619-8553

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Frontiers of Information Technology & Electronic Engineering 

Accepted manuscript available online (unedited version)


Camera calibration method for an infrared horizon sensor with a large field of view


Author(s):  Huajian DENG, Hao WANG, Xiaoya HAN, Yang LIU, Zhonghe JIN

Affiliation(s):  Micro-Satellite Research Center, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):  roger@zju.edu.cn

Key Words:  Infrared horizon sensor; Ultra-field infrared camera; Camera calibration


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Huajian DENG, Hao WANG, Xiaoya HAN, Yang LIU, Zhonghe JIN. Camera calibration method for an infrared horizon sensor with a large field of view[J]. Frontiers of Information Technology & Electronic Engineering , 2023, 24(9): 141-153.

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author="Huajian DENG, Hao WANG, Xiaoya HAN, Yang LIU, Zhonghe JIN",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="24",
number="1",
pages="141-153",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200079"
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Abstract: 
Inadequate geometric accuracy of cameras is the main constraint to improving the precision of infrared horizon sensors with a large field of view (FOV). An enormous FOV with a blind area in the center greatly limits the accuracy and feasibility of traditional geometric calibration methods. A novel camera calibration method for infrared horizon sensors is presented and validated in this paper. Three infrared targets are used as control points. The camera is mounted on a rotary table. As the table rotates, these control points will be evenly distributed in the entire FOV. Compared with traditional methods that combine a collimator and a rotary table which cannot effectively cover a large FOV and require harsh experimental equipment, this method is easier to implement at a low cost. A corresponding three-step parameter estimation algorithm is proposed to avoid precisely measuring the positions of the camera and the control points. Experiments are implemented with 10 infrared horizon sensors to verify the effectiveness of the calibration method. The results show that the proposed method is highly stable, and that the calibration accuracy is at least 30% higher than those of existing methods.

适用于大视场红外地球敏感器的相机标定方法

邓华健1,2,王昊1,2,韩晓亚3,刘洋1,2,金仲和1,2
1浙江大学微小卫星研究中心,中国杭州市,310027
2浙江大学浙江省微纳卫星研究重点实验室,中国杭州市,310027
3北京跟踪与通信技术研究所,中国北京市,100094
摘要:相机的几何精度不足是制约大视场红外地球敏感器精度提升的主要因素。红外地球敏感器相机超大的视场与中心的盲区极大地限制了传统几何标定方法的准确性与可行性。本文提出并验证了一种新型的适用于红外地球敏感器的相机标定方法。三个红外靶标被用作控制点,而相机被安装于双轴转台上。随着转台的旋转,这些控制点将均匀地分布在整个相机视场中。与传统的平行光管与转台配合方法相比,传统方法无法有效覆盖大视场且需要苛刻的实验设备,而该方法更易于实施且成本较低。本文还提出了相应的三步参数估计算法,从而不需要精确测量相机和控制点的位置。本文用10台红外地球敏感器进行了实验,以验证标定方法的有效性。结果表明,所提出的方法是高度稳定可靠的,标定精度与现有其他方法相比提升至少30%。

关键词组:红外地球敏感器;全景红外相机;相机标定

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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