光学学报, 2015, 35 (2): 0212004, 网络出版: 2015-01-09   

空间污染条件下红外测量相机响应衰减模型的建立与应用

Establishment and Application of Infrared Camera Response Attenuation Model due to Contamination in Satellite
作者单位
哈尔滨工业大学空间光学工程研究中心, 黑龙江哈尔滨150001
摘要
基于某型号大气辐射测量卫星在轨定标实验数据,开展了空间污染物对天基红外测量相机响应性能的影响研究。建立了具有明确物理意义的测量相机灰度响应衰减模型,使用实测数据对模型参数进行了拟合,拟合相对均方根误差小于1%,参数值与其物理意义吻合较好;提出了基于相机线性响应范围与最小辐射分辨率要求双重约束下的空间污染容限确定准则,得出了推荐去污间隔时间为1250 h 的结论;给出了利用衰减模型预估任意时刻定标系数的方法,分别利用模型预估定标系数、历史定标系数以及当轨定标系数对测量灰度数据进行了辐射标定,预估定标系数的标定误差小于3%,能够在保证像面质量的同时提高测量精度。
Abstract
On- orbit radiometric calibration data from some types of atmospheric radiation measurement satellite are analyzed to investigate the impact of pollutants on the response performance of space- based infrared camera. An attenuation model of camera responded grayscale is established with a clear physical meaning, whose parameters are fitted using the practical data with the relative root mean square errors less than 1% , and the fitted values coincide with their physical meanings well. In order to determine the pollution tolerance in satellite, rules based on the constraints of camera linear response range and the minimum radiance resolution requirements are proposed, and the recommended decontamination interval of 1250 h is obtained. The method of using the attenuation model to predict calibration coefficients at any moment is presented, and calibration coefficients from model prediction, history calibration tests and the time- matched calibration test are used to convert measuring grayscale data to radiance. Results show that the modelpredicted coefficients can control the calibration errors with less than 3% and are able to improve the measurement accuracy while ensuring image quality.
参考文献

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张寅, 丛明煜, 周宇星. 空间污染条件下红外测量相机响应衰减模型的建立与应用[J]. 光学学报, 2015, 35(2): 0212004. Zhang Yin, Cong Mingyu, Zhou Yuxing. Establishment and Application of Infrared Camera Response Attenuation Model due to Contamination in Satellite[J]. Acta Optica Sinica, 2015, 35(2): 0212004.

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