光学学报, 2018, 38 (1): 0128001, 网络出版: 2018-08-31   

Sentinel-2卫星影像的大气校正方法 下载: 2625次

Atmospheric Correction Method for Sentinel-2 Satellite Imagery
作者单位
中国农业大学信息与电气工程学院, 北京 100083
摘要
Sentinel-2卫星是全球环境与安全监测系统“哥白尼计划”中的第二颗卫星,其影像具有高时空分辨率,是未来遥感应用的重要数据源。采用大气校正简化模型(SMAC)、6S模型和Sen2cor方法对Sentinel-2卫星影像进行大气校正,将上层大气表观反射率转换为地表反射率,并结合实测地物的光谱数据进行分析。Sentinel-2卫星影像经过大气校正后,影像光谱曲线与地面实测光谱曲线的变化趋势一致,具有较高的拟合度。三种模型大气校正的结果具有较强的相关性和较高的精度,其中Sen2cor方法精度最高,决定系数(R2)为0.8196,均方根误差(Ermse)为0.0388,其次为6S模型和SMAC。从归一化植被指数(NDVI)的分析可以看出,SMAC计算的NDVI值与实测值的相关性最高,R2为0.6389,Ermse为0.093,其次为6S模型和Sen2cor方法。结果表明这三种方法的大气校正精度较高,Sentinel-2卫星影像经过校正后影像质量明显得到提高,增加了可用性。
Abstract
Sentinel-2 is the second satellite of the world's environmental and safety monitoring system ‘Copernicus plan’, and it is an important data source for future remote sensing applications with high temporal-spatial resolution image. The simplified model for atmospheric correction (SMAC), 6S model and Sen2cor method are used to carry out atmospheric correction for Sentinel-2 satellite imagery. The upper atmospheric apparent reflectance is converted to surface reflectance, and analysis combining with measured spectral data of ground objects is carried out. After the atmospheric correction of Sentinel-2 satellite image, the spectral curves of the image and measured objects have the same change tendency with a high fitting degree. The atmospheric correction results of three models have strong correlation and high precision. The accuracy of Sen2cor method is the highest, whose determination coefficient (R2) is 0.8196, and root-mean-square error (Ermse) is 0.0388, followed by 6S model and SMAC. From the analysis of normalized differential vegetation index (NDVI), we find that NDVI values calculated by SMAC have the highest correlation with measured values, whose R2 is 0.6389, and Ermse is 0.093, followed by 6S model and Sen2cor method. Results show that the atmospheric correction accuracy of three methods is high. When the sentinel-2 satellite imagery is corrected, the image quality is improved obviously, and the availability is increased.

苏伟, 张明政, 蒋坤萍, 朱德海, 黄健熙, 王鹏新. Sentinel-2卫星影像的大气校正方法[J]. 光学学报, 2018, 38(1): 0128001. Wei Su, Mingzheng Zhang, Kunping Jiang, Dehai Zhu, Jianxi Huang, Pengxin Wang. Atmospheric Correction Method for Sentinel-2 Satellite Imagery[J]. Acta Optica Sinica, 2018, 38(1): 0128001.

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