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Frontiers of Information Technology & Electronic Engineering 

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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 , 1998, -1(3): .

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publisher="Zhejiang University Press & Springer",
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Abstract: 
Inadequate camera geometric accuracy 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 the traditional collimator and rotary table method, which cannot effectively cover a large FOV and requires harsh experimental equipment, this method is easier to implement at a low cost. A corresponding three-step parameter estimation algorithm is proposed to avoid measuring the position of the camera and the control points precisely. Experiments were implemented with ten 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% better than other existing methods.

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