摘要
为了监测卫星传感器在轨辐射性能的变化、提高定标的频次和精度、满足新时期定量遥感的应用需求,提出了一种基于卡尔曼滤波的时间序列定标方法。以敦煌辐射校正场为试验场,获取高分一号宽视场成像仪(GF1-WFV)在2013—2020年间多景敦煌场地影像,先对影像灰度值进行归一化处理,利用标准差剔除异常值,筛选出有效影像;采用基于稳定目标的历史数据时间序列定标方法计算定标系数,并利用卡尔曼滤波思想对定标系数进行进一步处理,最后分别将本文定标结果与中国资源卫星应用中心(CCRS)定标结果、Landsat8定标结果进行对比。结果表明:高分一号卫星传感器在轨运行期间的最大年衰减率不超过0.3%,说明传感器未发生明显衰减;通过对定标结果的对比验证,发现基于卡尔曼滤波的时间序列定标方法所获得的定标结果比CCRS定标结果的精度高,其中各波段的平均相对误差最大可减小16.14%。由此可见基于卡尔曼滤波的时间序列定标方法具有较好的可靠性和稳定性。
This paper proposes a time-series calibration method based on Kalman filtering to monitor the changes in the on-orbit radiometric performance of satellite sensors,increase the frequency and accuracy of calibration,and meet the application requirements of quantitative remote sensing in the new era.Taking the Dunhuang radiation calibration field as the test field,we obtain the multi-scene images of the GF1 wide field of view(GF1-WFV)sensor in the sites of Dunhuang from 2013 to 2020.First,the gray values of the images are normalized,and the standard deviation is used to eliminate outliers;thus,valid images are filtered out.Then,the time-series calibration method based on stable targets with historical data is employed to calculate the calibration coefficients,and the idea of Kalman filtering is applied to further process the calibration coefficients.Finally,the calibration results in this paper are compared with the calibration results of the China Centre for Resources Satellite Data and Application(CCRS)and Landsat8 calibration results separately.The results reveal that the maximum annual attenuation rate of the GF1 sensor during the on-orbit operation period does not exceed 0.3%,which indicates that the sensor has not significantly attenuated.Through the comparison and verification of the calibration results,we find that the calibration results obtained by the time-series calibration method based on Kalman filtering are more accurate than those of CCRS,and the maximum reduction in the average relative error of each band is 16.14%.This demonstrates that the time-series calibration method based on Kalman filtering has good reliability and stability.
作者
豆新格
潘军
高海亮
王凯司
孙晗
姜鹏
李小英
Dou Xinge;Pan Jun;Gao Hailiang;Wang Kaisi;Sun Han;Jiang Peng;Li Xiaoying(College of Geoexploration Science and Technology,Jilin University,Changchun 130012,Jilin,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;University of Chinese Academy of Sciences,Beijing 100094,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2022年第12期74-81,共8页
Acta Optica Sinica
基金
国家重点研发计划(2018YFB0504900,2018YFB0504903)。
关键词
大气光学
高分一号
宽视场成像仪
时间序列定标
卡尔曼滤波
高精度
敦煌定标场
atmospheric optics
GF1
wide field of view imager
time-series calibration
Kalman filtering
high accuracy
Dunhuang calibration field
