基于星载同步大气参数的多光谱卫星影像校正方法  

Correction Method of Multispectral Satellite Images Based on Spaceborne Synchronous Atmospheric Parameters

作　　者：徐玲玲 熊伟[2] 易维宁[2] 裘桢炜[2] 刘晓[2] 崔文煜 XU Ling-ling;XIONG Wei;YI Wei-ning;QIU Zhen-wei;LIU Xiao;CUI Wen-yu(University of Science and Technology of China,Hefei 230026,China;Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China)

机构地区：[1]中国科学技术大学,安徽合肥230026 [2]中国科学院合肥物质科学研究院,安徽合肥230031

出　　处：《光谱学与光谱分析》2024年第3期843-852,共10页Spectroscopy and Spectral Analysis

基　　金：航天科技创新应用研究项目(62502510201)资助。

摘　　要：大气状态随时空变化具有显著差异,因此遥感卫星影像大气校正一直受限于难以动态获取与图像时空匹配大气参数的现实问题。高分辨率多模综合成像(高分多模)卫星作为我国目前空间分辨率最高的民用光学遥感卫星,搭载了首颗民用同步大气校正仪(SMAC)。SMAC是一台偏振多波段大气探测装置,采用时间同步和空间覆盖的探测方式,获取与同平台的主相机时空同步的大气信息。基于SMAC探测反演的大气参数,提出了一种利用星上同步大气参数校正高分辨率卫星遥感影像的方法Syn-AC。首先,基于时间同步的原则,结合主相机辅助数据,对SMAC原始数据进行预处理,形成SMAC-Level1产品;然后根据SMAC-Level1数据,进行SMAC云像元的判别,接着对无云覆盖的像元进行气溶胶和水汽参数的反演,形成Level2产品;最后采用同步反演大气参数,基于6SV辐射传输模型,对高分多模卫星Level1A级遥感影像进行大气辐射校正和邻近效应校正,得到主相机Level2地表反射率产品。在实验部分,利用Syn-AC对高分多模卫星多光谱影像进行大气同步校正试验,对大气校正前后的图像质量进行了定量评价。进一步地,结合地面实测反射率数据分析校正后的地表反射率,讨论同步大气校正方法的校正精度。同时,应用经典大气校正方法-FLAASH对多光谱影像进行大气校正,并与Syn-AC校正结果进行了性能比较。结果表明,同步大气校正得到的地表反射率与地面实测值比较一致,人工靶标校正后的平均反射率与地面实测值的平均绝对误差为0.012 2(FLAASH为0.027 4)。基于SMAC同步大气参数的大气校正方法在提高卫星图像质量和遥感定量化应用中具有很大的潜力。The atmospheric state varies significantly in terms of the temporal and spatial scales.The atmospheric correction of remote sensing satellite images is limited because it is difficult to dynamically obtain atmospheric parameters matching with the images to be corrected.As the civil optical remote sensing satellite with the highest spatial resolution in China,the Gao Fen Duo Mo satellite is equipped with the first civilian Synchronization Monitoring Atmospheric Corrector(SMAC).The SMAC onboard the GFDM satellite platform is capable of multispectral and polarization detection and can offer time-synchronized,and field-of-view overlapped atmospheric measurements to obtain atmospheric parameters synchronized with the main sensor.This study proposed a synchronous atmospheric correction method for high-spatial resolution image based on the atmospheric parameters retrieved from SMAC.Firstly,based on the principle of time synchronization,the original data of SMAC was processed to form the SMAC-Level1 product,combining with the auxiliary data of the main camera.Then,according to the SMAC-Level1 data,the SMAC pixels covered with cloud were discriminated,and the aerosol and water vapor parameters of the pixels without cloud coverage were retrieved to form the SMAC-L2 product.Finally,based on the 6SV radiative transfer model,the atmospheric radiometric correction and proximity effect correction were carried out on the remote sensing image from the GFDM satellite(Level1),and the surface reflectance product of the main camera(Level2)was obtained.In the experimental part,Syn-AC was applied to the remote sensing image from the GFDM satellite,and the image quality before and after the atmospheric correction was evaluated.Furthermore,the surface reflectance after the correction was compared with the ground-measured value to discuss the accuracy of the synchronous atmospheric correction method.In addition,the classical correction method FLAASH,was applied in the experiments to compare its performance with that of the Syn-AC method.T

关 键 词：高分多模 同步大气校正仪 同步大气校正 反射率 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]