北京大学学报(自然科学版)

环境减灾卫星高光谱数据大气校正模型及验证

杨贵军1,黄文江1,刘三超2,邢著荣1,3,王纪华1   

  1. 1. 国家农业信息化工程技术研究中心, 北京市农林科学院,北京 100097; 2. 民政部国家减灾中心遥感部,北京 100053; 3. 山东科技大学遥感科学与技术系,青岛266510;
  • 收稿日期:2009-08-10 出版日期:2010-09-20 发布日期:2010-09-20

Research on Modeling and Validating of Atmospheric Correction for HJ-1A Hyperspectral Imager Data

YANG Guijun1, HUANG Wenjiang1, LIU Sanchao2, XING Zhurong1,3, WANG Jihua1   

  1. 1. National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097; 2. Remote Sensing Department, National Disater Reduction Center of China, Beijing 100053; 3. Department of Remote Sensing Science and Technology, Shandong University of Science and Technology, Qingdao 266510;
  • Received:2009-08-10 Online:2010-09-20 Published:2010-09-20

摘要: 根据四流近似辐射传输理论, 建立了适合环境与减灾卫星高光谱传感器(HSI)的大气校正解析模型, 给出了模型中 6 个大气参数的数值计算方法。经与 MODTRAN 模型比较, 解析模型误差小于0. 5% , 表明具有较高的数值模拟精度。利用与 HSI 数据同步过境 MODIS 数据生成的大气温湿度廓线产品和气溶胶产品, 求解出了6 个大气校正参数, 并将其用于定标后 HSI 数据的大气校正, 获得了地物真实高光谱反射率。经与地面同步观测光谱数据比较, 波长大于700 nm波段范围内校正结果与地面观测值一致性较好; 其他波段受仪器 自身存在较大噪声影响, 校正后反射率高于地表观测值。

关键词: 环境与减灾卫星, HSI, 大气校正, MODIS

Abstract: According to four-streams approximation of radiation transfer theory, the analytical model of atmospheric correction for hyper spectral imager(HSI) sensor of environment and disaster reduction small satellites (named as HJ-1A/ 1B) was given with six atmosphere parameters. The testing for constructed analytical model was carried out, through comparing outputs radiance at sensor between MODTRAN and the proposed model. It shows that the relatively errors of them are less than 0.5%. Using the atmospheric products of MODIS at same over-pass from HSI sensor, the six parameters of the proposed model were resolved and were applied in correcting HSI data to acquire land surface reflectance. The results from validation between corrected reflectance and measurements are good consistency for wavelength less than 700 nm, for other bands it is greater than field measurements causing by sensor-self noise effect.

Key words: environment and disaster reduction small satellites, hyper spectral imager, atmospheric correction, MODIS

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