星载光学载荷历史数据再定标综述  

Overview of historical data retrospective calibration for space-borne optical payloads

作　　者：胡秀清 王玲[1,2,3] 张鹏 徐娜[1,2,3] 漆成莉 徐寒列[1,2,3] 何兴伟 何玉青[4] 陈林 孙凌[1,2,3] 卢乃锰 HU Xiuqing;WANG Ling;ZHANG Peng;XU Na;QI Chengli;XU Hanlie;HE Xingwei;HE Yuqing;CHEN Lin;SUN Ling;LU Naimeng(National Satellite Meteorological Center(National Center for Space Weather),China Meteorological Administration,Beijing 100081,China;Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,China Meteorological Administration,Beijing 100081,China;Innovation Center for FengYun Meteorological Satellite(FYSIC),Beijing 100081,China;Key Laboratory of Optoelectronic Imaging Technology and Systems,Ministry of Education,School of Optoelectronics,Beijing Institute of Technology,Beijing 100081,China)

机构地区：[1]国家卫星气象中心(国家空间天气监测预警中心)中国气象局,北京100081 [2]中国遥感卫星辐射测量和定标重点开放实验室中国气象局,北京100081 [3]许健民气象卫星创新中心,北京100081 [4]光电成像技术与系统教育部重点实验室北京理工大学,北京100081

出　　处：《遥感学报》2023年第10期2229-2251,共23页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家重点研发计划(编号:2022YFB3902900,2022YFB3902901,2018YFB0504901)。

摘　　要：经过三十多年努力,中国气象、陆地、海洋、环境减灾星座等已经形成了系列化、业务化发展的态势,国产多系列遥感卫星积累了较长时间连续观测资料,这为气候变化研究和环境变化检测提供了可能性。要发挥卫星观测历史数据在气候变化研究中的巨大潜力,必须解决不同卫星之间、同一卫星全寿命期遥感载荷的高精度一致性辐射再定标问题,构建统一的历史辐射基准和精细再定标模型,使得不同仪器、不同时期的观测资料具有可比性。本文综述了星载光学遥感仪器历史数据再定标的方法和思路,包括发展地球稳定目标和天体月球的辐射基准模型,重构长序列历史数据再定标精细算法模型。论文系统介绍了如何构建历史数据再定标的地球稳定目标—沙漠、冰雪、深对流云(DCC)等辐射基准模型,以及用于交叉定标及基准溯源的典型参考仪器及基准数据评价。本文还综述了光学载荷历史数据再定标模型重构需要综合考虑的几个关键方面,包括影响辐射定标不确定性的杂散光、串光、偏振等要素的影响机理,并采用仪器定标全链路仿真和关键定标参数精细重构,建立仪器响应的短周期波动订正模型和长周期衰变模型;构建仪器响应与空间、光谱、热学、轨道等内外要素关联的精细定标机理模型;开展仪器响应的多目标跟踪和长序列宽动态综合定标系数推算,并采用计算智能的相对定标技术,实现卫星长序列历史资料的自动再定标和长周期衰减订正,建立同一仪器寿命期内辐射响应及衰变特征模型。本文综述的历史辐射基准、再定标模型及定标的影响机理等最新研究进展,为中国历史遥感数据再定标提供了系统性解决思路,为进一步提高遥感数据长期定标质量和可靠性奠定了理论方法基础。After more than thirty years of effort,China’s meteorological,land,ocean,and environmental disaster reduction constellations have formed a systematic and operational development trend.Domestically developed multi-series remote sensing satellites have accumulated long-term continuous observation data,which provide possibilities for climate change research and environmental change detection.To unleash the enormous potential of satellite observation historical data in climate change research,it is necessary to address the highprecision radiometric calibration problem of remote sensing payloads between different satellites and throughout the entire lifespan of a single satellite.This requires the establishment of a unified historical radiometric reference and a refined recalibration model,ensuring the comparability of observation data from different instruments and different time periods.This article provides an overview of the methods and approaches for historical data recalibration of spaceborne optical remote sensing instruments.It includes the development of radiometric reference models based on Earth-stable targets and celestial bodies such as the Moon,as well as the reconstruction of fine algorithm models for recalibrating long sequences of historical data.The paper systematically introduces how to construct radiometric reference models using Earth-stable targets such as deserts,ice and snow,DCC,as well as typical reference instruments and benchmark data evaluation for cross-calibration and benchmark traceability.This article also reviews several key aspects that need to be considered when reconstructing recalibration models for optical payload historical data.This includes the influence mechanisms of stray light,ghosting,polarization,and other factors affecting radiometric calibration uncertainty.It discusses the establishment of short-period fluctuation correction models and long-period decay models for instrument response through full-link simulation of instrument calibration,fine reconstruction of key cal

关 键 词：历史数据再定标 辐射基准 精细再定标模型 仪器衰变模型 定标机理模型 

分 类 号：P2[天文地球—测绘科学与技术]