基于IR-MAD不变像元的风云三号光学成像仪同平台交叉定标  

Cross calibration technology for the same platform of FY-3 optical imager based on IR-MAD no-change pixels

作　　者：李国荣 何玉青[1] 胡秀清 王俊伟 LI Guorong;HE Yuqing;HU Xiuqing;WANG Junwei(Beijing Institute of Technology,School Optics and Photonics,Key Laboratory of Optoelectronic Imaging Technology and System of Ministry of Education,Beijing 100081,China;National Stellite Meteorological Center(National Center for Space Weather),China Meteorological Administration,Beijing 100081,China)

机构地区：[1]北京理工大学光电学院、光电成像技术与系统教育部重点实验室,北京100081 [2]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

出　　处：《遥感学报》2023年第10期2337-2349,共13页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家重点研发计划(编号:2018YFB0504900,2018YFB0504901);国家自然科学基金(编号:41871249)。

摘　　要：现有基于稳定目标场的交叉定标方法受限于卫星同步过境人工选取定的伪不变目标且靶场光谱特性较为单一,难以进行多频次、高精度的交叉定标,而传感器的精确在轨校准对其数据产品的有效性至关重要。本文提出了一种基于迭代重加权多变量变化检测(IR-MAD)的交叉定标方法,以风云三号B星(FY-3B)光学成像仪的中分辨率成像光谱仪(MERSI)为参考基准,展开对同平台的可见光红外扫描辐射计(VIRR)的交叉定标研究。该方法通过IR-MAD算法自动识别两探测器同时相场景中的不变像元,基于不变像元的反射率信息,经过光谱匹配和正交回归获得交叉定标系数。本文以FY-3B/VIRR、MERSI中国西北地区和北非地区数据展开研究,获取长时间序列的定标斜率系数。结果表明,IR-MAD方法与业务定标、敦煌沙漠场地定标结果有很好的一致性,VIRR经定标校正后与MERSI的辐射信息相对偏差优于2%,中国西北地区和北非地区获取的IR-MAD交叉定标结果吻合(多数通道优于2%)。此方法可在卫星观测场景内自动高效的选取伪不变目标,并基于所选取的伪不变目标实现交叉定标。During the operation of the satellite in orbit,the radiation detection performance and stability of the sensor changes,and the accuracy of the acquired radiation observation signal decreases.Accurate on-orbit calibration of sensors is crucial to ensure the validity of their data products.The stable target site based cross calibration method is limited by the pseudo-invariant target,which is manually selected by the satellite synchronous transit and has simple spectral characteristics.Thus,multi-frequency and high-precision cross calibration are difficult to carry out.Method:This study proposes a cross calibration method based on iterative reweighted multivariate alteration detection(IR-MAD).Taking the FY-3B medium resolution spectral imager(MERSI)as the reference,the cross-calibration of visible and infrared radiometer(VIRR)on the same platform is studied.Initially,the IR-MAD algorithm linearly combines the simultaneous multi-channel images of the two sensors to construct canonical correlation variables and performs canonical correlation analysis to eliminate the correlation between different channels of a single sensor and unmatched channels of different sensors.Then,through multiple probability reweighting iterations,the IR-MAD algorithm can automatically identify the no-change pixels(NCPs)in the same phase scene of the two sensors.The radiance of the NCPs has the largest linear correlation between VIRR and MERSI matching channels.The cross-calibration coefficients can be obtained using a linear regression model based on the apparent reflectance information of the NCPs by correcting the spectral differences between matched channels of two sensors.This study implements this procedure with data from Northwest China region and North Africa region and compares it with the calibration results obtained from other related studies.Result:Experimental results show that the proposed method is consistent with the operational calibration and the Dunhuang desert site calibration.The relative deviation of the radiometric inf

关 键 词：可见光红外扫描辐射计 中分辨率成像光谱仪 迭代重加权多变量变化检测 不变像元 交叉定标 

分 类 号：P2[天文地球—测绘科学与技术]