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1.长光卫星技术有限公司,吉林 长春 130051
2.中国气象局数值预报中心, 北京 100081
Received:20 November 2020,
Revised:06 January 2021,
Published:15 March 2021
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白杨,王灵丽,武红宇等.基于气象预测数据优化卫星成像参数[J].光学精密工程,2021,29(03):628-636.
BAI Yang,WANG Ling-li,WU Hong-yu,et al.Optimize satellite imaging parameters using meteorological forecast data[J].Optics and Precision Engineering,2021,29(03):628-636.
白杨,王灵丽,武红宇等.基于气象预测数据优化卫星成像参数[J].光学精密工程,2021,29(03):628-636. DOI: 10.37188/OPE.20212903.0628.
BAI Yang,WANG Ling-li,WU Hong-yu,et al.Optimize satellite imaging parameters using meteorological forecast data[J].Optics and Precision Engineering,2021,29(03):628-636. DOI: 10.37188/OPE.20212903.0628.
卫星传感器成像参数包括增益、积分级数、行积分时间等,需要在传感器成像前通过地面站指令上注,合理的成像参数设置是获取高质量遥感影像数据的重要前提。本文提出了一种基于气象预测数据的卫星传感器成像参数优化与计算方法,首先,根据成像链路模型,结合气象预测数据中能够较好反映地表状态变化的地表反照率数据,解算目标地物成像时刻天顶辐亮度;然后,利用传感器绝对辐射定标系数解算不同成像参数下对应的图像灰度;最后,根据图像灰度适宜的策略选取合理的成像参数。通过吉林一号视频04星推扫成像模式验证本文提出的算法对全色和多光谱谱段图像信息熵分别提升4.37%~23.71%,采用本文提出的优化成像参数可以有效改善卫星遥感影像的有效动态范围,满足高质量遥感影像数据获取需求。
Satellite sensor imaging parameters include gain, integration level, integration time, etc., which need to be input by command through a ground station before imaging. Reasonable imaging parameter settings are important prerequisites for obtaining high-quality remote sensing image data. In this paper, a satellite sensor imaging parameter optimization method that employs meteorological prediction data is proposed. First, according to an imaging link model combined with surface albedo data, which can better reflect surface state changes in meteorological prediction data, the radiance at the top of the atmosphere of a target during the imaging time is determined. Then, the corresponding grayscale image under different imaging parameters is obtained using the absolute radiation calibration coefficient of the sensor. Finally, reasonable imaging parameters are selected based on the appropriate strategy of obtaining grayscale images. The algorithm proposed in this paper is verified using the line-push broom imaging mode of the Jilin SP04 satellite. The image comentropy is improved by 4.37%-23.71% for panchromatic and multispectral bands. The results show that the imaging parameter optimization strategy proposed in this paper can improve the effective dynamic range of images and meet the demand for high-quality remote sensing image data acquisition.
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