An angular error compensation technology for airborne infrared spectral camera

Dong Hao; Sun Tuo; Wu Li'na; Tang Shuai; Liu Xiaobo

doi:10.3788/IRLA201948.1013007

An airborne infrared multispectral scanner can image remotely both in downward-looking and side-looking modes, by solving the contradiction among spectral resolution, high spatial resolution and large FOV imaging with whole device whiskbroom working mode. A theoretical accuracy of the object positioning error can be acquired by simulating the imaging geometry, which indicates that the angle measuring accuracy of the infrared multispectral scanner is the main error source, and should be precise enough to guarantee the linear whisk broom stripe images' pixel-level mosaic accuracy. Subsequently, a method of angular error compensation was adopted to reduce the long term and short term error. After compensation, the angle precision was ten times higher than before through labrotary test, and the accuray remained stable by environmental test. Also, the airborne flight test verifies the effectiveness of the compensation technology, the image relative geometric positioning accuracy is less than one pixel(10), which can meet the requirements of image mosaic.

An angular error compensation technology for airborne infrared spectral camera

1. Tianjin Jinhang Research Institute of Technical Physics,Tianjin 300308,China;

2. Institude of Spacecraft Application System Engineering,China Acadamy of Space Technology,Beijing 100094,China;

3. Tianjin TSINTEL Technology Co.,Ltd,Tianjin 300308,China

Received Date: 2019-06-05

Rev Recd Date: 2019-07-12

Publish Date: 2019-10-25

Key words:

Abstract: An airborne infrared multispectral scanner can image remotely both in downward-looking and side-looking modes, by solving the contradiction among spectral resolution, high spatial resolution and large FOV imaging with whole device whiskbroom working mode. A theoretical accuracy of the object positioning error can be acquired by simulating the imaging geometry, which indicates that the angle measuring accuracy of the infrared multispectral scanner is the main error source, and should be precise enough to guarantee the linear whisk broom stripe images' pixel-level mosaic accuracy. Subsequently, a method of angular error compensation was adopted to reduce the long term and short term error. After compensation, the angle precision was ten times higher than before through labrotary test, and the accuray remained stable by environmental test. Also, the airborne flight test verifies the effectiveness of the compensation technology, the image relative geometric positioning accuracy is less than one pixel(10), which can meet the requirements of image mosaic.

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Reference (13)

[1]	Fang Jiancheng, Qi Zihui, Zhong Maiying. Feedforward compensation method for three axes inertially stabilized platform imbalance torque[J]. Journal of Chinese Inertial Technology, 2010, 18(1):38-43. (in Chinese)房建成, 戚自辉, 钟麦英. 航空遥感用三轴惯性稳定平台不平衡力矩前馈补偿方法[J]. 中国惯性技术学报, 2010, 18(1):38-43.
[2]	Jiang Hongxiang, Ding Zhushun, Wang Yuanyuan, et al. Inertial stabilization and attitude tracking in the geographic coordinate system of the large platform[J]. Navigation and Control, 2017, 16(3):12-17. (in Chinese)蒋鸿翔, 丁祝顺, 王媛媛, 等. 大型平台的惯性稳定与地理坐标系姿态跟踪[J]. 导航与控制, 2017, 16(3):12-17.
[3]	Li Haixing, Hui Shouwen, Ding Yalin. Development and key techniques of optical mapping equipment in foreign airborne[J]. Journal of Electronic Measurement and Instrumentation, 2017, 16(3):12-17. (in Chinese)李海星, 惠守文, 丁亚林. 国外航空光学测绘装备发展及关键技术[J]. 电子测量与仪器学报, 2017, 16(3):12-17.
[4]	Liu Yanjun, Yan Haixia, Wang Donghe. Calibration for wide field of view infrared thedolite[J]. Infrared and Laser Engineering, 2015, 44(3):832-836. (in Chinese)刘岩俊, 闫海霞, 王东鹤. 大视场红外光电经纬仪精度标定[J]. 红外与激光工程, 2015, 44(3):832-836.
[5]	Li Junjie, Guan Yanling, Yang Mengmeng. Development of digital airborne camera[J]. Science of Surveying and Mapping, 2013, 38(1):54-56. (in Chinese)李军杰, 关艳玲, 杨蒙蒙. 数字航测相机的研究进展[J]. 测绘科学, 2013, 38(1):54-56.
[6]	Yang Hongtao, Zhang Guangdong, Shi Kui, et al. Aerial camera geo-location method based on POS system[J]. Acta Photonica Sinica, 2018, 47(4):1-8. (in Chinese)杨洪涛, 张广栋, 史魁, 等. 一种基于POS系统的航空相机目标定位方法[J]. 光子学报, 2018, 47(4):1-8.
[7]	Li Yongkun, Lin Zhaorong. Development survey of foreign aerial cameras for distant oblique reconnaissance[J]. Spacecraft Recovery and Remote Sensing, 2017, 8(6):11-18. (in Chinese)李永昆, 林招荣. 国外远距斜视航空相机发展概况[J]. 航天返回与遥感, 2017, 8(6):11-18.
[8]	Lareau A G, Partynski A J. Dual-band framing Cameras:technology and status[C]//International Symposium on Optical Science Technology, 2000, 4127:148-156.
[9]	Sementelli R G. EO/IR Dual-band Reconnaissance System DB-110[C]//Proceedings of SPIE-The International Society for Optical Engineering Airborne Reconnaissance, 1995, 2555:222-231.
[10]	Du Yanlu, Ding Yalin, Xu Yongsen, et al. Geo-Location algorithm for TDI-CCD aerial panoramic camera[J]. Acta Photonica Sinica, 2017, 37(3):0328003. (in Chinese)杜言鲁,丁亚林, 许永森, 等. TDI-CCD全景式航空相机对地目标定位的算法[J]. 光学学报. 2017,37(3):0328003.
[11]	Li Haixia, Zhang Rong, Han Fengtian. Error testing and compensation of an inductosyn-based angular measurement system[J]. J Tsinghua Univ(Sci Technol), 2016, 56(6):611-616. (in Chinese)李海霞, 张嵘, 韩丰田. 感应同步器测角系统误差测试及补偿[J]. 清华大学学报(自然科学版), 2016, 56(6):611-616.
[12]	Lu Zhongda. Research on dynamic angle-measuring project by amplitude discrimination mode of inductosyn[J]. Journal of Test and Measurement Technology. 2003, 43:48-51. (in Chinese)陆仲达. 鉴幅型感应同步器动态测角方案研究[J]. 测试技术学报, 2003, 43:48-51.
[13]	Zhang Gong, Zhang Xiaofei, Wang Yufeng, et al. Study on error compensation of angular position measurement[J]. Journal of Test and Measurement Technology, 2016, 30(4):353-357. (in Chinese)张功,张晓飞, 王昱峰, 等. 角位置测量误差补偿方法研究[J] 测试技术学报, 2016, 30(4):353-357.

An angular error compensation technology for airborne infrared spectral camera

doi: 10.3788/IRLA201948.1013007

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