基于环境二号卫星宽视场图像的BRDF校正  

BRDF Correction Based on Wide-Field Images of Environment-2 Satellite

作　　者：吴海章 黄红莲 孙晓兵 刘晓 提汝芳 王宇轩 Wu Haizhang;Huang Honglian;Sun Xiaobing;Liu Xiao;Ti Rufang;Wang Yuxuan(University of Science and Technology of China,Hefei 230026,Anhui,China;Key Laboratory of Optical Calibration and Characterization,Anhui Institute of Optics and Fine Mechanics,Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,Anhui,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光学精密机械研究所通用光学定标与表征技术重点实验室,安徽合肥230031

出　　处：《光学学报》2024年第12期352-366,共15页Acta Optica Sinica

基　　金：航天科技创新应用研究项目(E23Y0H555S1);中国科学院重点实验室基金(E33Y0HB42P1)。

摘　　要：自然地物基本都是非朗伯体,地表反射具有方向性。由于地表方向反射特性的影响,不同观测角度下宽视场相机接收到的地表反射率不同,需要进行双向反射分布函数(BRDF)校正。基于地物分类的同类像元匹配,利用中分辨率成像光谱仪(MODIS)的地表反射率产品进行BRDF模型核参数反演,实现环境二号卫星宽视场图像的BRDF校正,并使用戈壁和农田两类地物地面实测BRDF数据集,验证不同BRDF核驱动模型的核参数反演结果和BRDF校正结果。结果表明:针对戈壁和农田两种地物类型,与RossThick Maignan-LiSparseR模型相比,RossThick-LiSparseR模型与实测结果的拟合相关性更高;与只进行大气校正的结果相比,经BRDF校正后环境减灾二号01组A、B(HJ-2A/B)卫星宽视场相机的反射率与实测反射率更加接近,有效减弱BRDF效应的影响,为进一步开展定量遥感研究提供数据质量保障。Objective Natural objects are typically non-Lambertian,and their surface reflections have directionality.Therefore,changes in incident and observation angles can affect observation results.The bidirectional reflection distribution function(BRDF)is used to describe the directional reflection characteristics of objects.Currently,multiple BRDF-related products,such as MODIS(Moderate-resolution imaging spectroradiometer),POLDER(Polarization and directionality of the Earth’s reflectances),and MISR(Multi-angle imaging spectroradiometer)BRDF products,are available for selection.However,BRDF products,such as those aforementioned,have low spatial resolution and cannot be used for operations such as fine-grained vegetation parameter inversion and local climate scale research.Moreover,BRDF products with medium and high spatial resolutions are scarce.In recent years,with the rapid progress in medium-and high-resolution ground observation technologies,the number of medium-and high-spatial-resolution wide-field satellite remote sensing images has increased.For wide-field images,owing to their large width and field-of-view angle,the received surface reflectance is different and BRDF correction is required.Although wide-field satellite sensors provide high-resolution observational data,such data often comprise only single-angle observations.Consequently,BRDF/albedo inversion cannot easily be performed on multi-angle datasets.Therefore,for these types of satellite sensors,surface BRDF inversion can be performed by combining multi angle observation data from low-resolution satellite sensors or BRDF products.However,this may result in the problem of“mixed pixels”caused by the spatial scale differences between different resolution sensors.To address this issue,we investigate BRDF in medium-and high-resolution wide-field images.Based on the imaging characteristics of these wide-field images and using low-resolution sensors,we achieve BRDF kernel parameter inversion between multiple sensors and complete normalization correction

关 键 词：遥感 双向反射分布函数校正 环境二号卫星宽视场图像 中分辨率成像光谱仪地表反射率产品 核驱动模型 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]