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Proceedings Paper

The research on image preprocessing technique for the high sensitivity push-broom long wave infrared camera
Author(s): Limin Wu; Liang Long; Lisha Zhang; Zhe Wang
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Paper Abstract

This paper gives the preprocessing technique research which includes odd-even calibration, bad pixels compensation and non-uniformity calibration for the high sensitivity push-broom long wave infrared camera. The noise equivalent temperature difference (NETD) of the infrared camera has achieved less than 10 mK. The paper analyzes high sensitive imaging effects by using different preprocessing standards according to the test data, also analyzes the effects on imaging quality when using different preprocessing methods. At last the paper gives the suitable image preprocessing methods for the high sensitive infrared camera: the odd-even calibration method considering velocity to height ratio, the bad pixels compensation methods which are unique for temporal and spatial bad pixels and the non-uniformity calibration methods which combines the calibration based on black body testing data and the calibration based on real scene imaging data. It is validated that the residual nonuniformity of the infrared image can be reduced to 0.03% by using the preprocessing methods, which is satisfied for the requirement of high sensitive imaging.

Paper Details

Date Published: 10 January 2018
PDF: 11 pages
Proc. SPIE 10616, 2017 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 106160P (10 January 2018); doi: 10.1117/12.2283077
Show Author Affiliations
Limin Wu, Beijing Institute of Space Mechanics and Electricity (China)
Liang Long, Beijing Institute of Space Mechanics and Electricity (China)
Lisha Zhang, Beijing Institute of Space Mechanics and Electricity (China)
Zhe Wang, Beijing Institute of Space Mechanics and Electricity (China)


Published in SPIE Proceedings Vol. 10616:
2017 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments
Yongtian Wang; Baohua Jia; Kimio Tatsuno; Liquan Dong, Editor(s)

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