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

作     者：Huajian DENG Hao WANG Xiaoya HAN Yang LIU Zhonghe JIN Huajian DENG;Hao WANG;Xiaoya HAN;Yang LIU;Zhonghe JIN

作者机构：Micro-Satellite Research CenterZhejiang UniversityHangzhou 310027China Zhejiang Key Laboratory of Micro-nano Satellite ResearchHangzhou 310027China Beijing Institute of Tracking and Telecommunications TechnologyBeijing 100094China 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2023年第24卷第1期

页      面：141-153页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 

主　　题：Infrared horizon sensor Ultra-field infrared camera Camera calibration 

摘      要：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 *** infrared targets are used as control *** camera is mounted on a rotary *** the table rotates,these control points will be evenly distributed in the entire *** 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 *** are implemented with 10 infrared horizon sensors to verify the effectiveness of the calibration *** results show that the proposed method is highly stable,and that the calibration accuracy is at least 30%higher than those of existing methods.