不同地表覆盖下SPOT-7影像大气校正方法研究  

Research on Atmospheric Correction Methods of SPOT-7 Image of Different Landcover Types

作　　者：巫兆聪[1] 喻文蕴 WU Zhaocong;YU Wenyun(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学遥感信息工程学院,湖北武汉430079

出　　处：《测绘地理信息》2021年第2期7-12,共6页Journal of Geomatics

基　　金：国家自然科学基金(41501369)。

摘　　要：针对不同的地物覆盖类型,分析和评价了适用于SPOT-7卫星数据的大气校正方法,为其遥感定量研究和应用提供思路和参考。在河南省嵩山地区进行了同步观测实验,获取了SPOT-7卫星影像并进行大气校正处理,地面同步测量了大气光学特性和典型地物样区光谱,计算了地物样区在影像上的反射率和植被指数,分析了不同地物覆盖类型下大气校正模型(fast line-of-sight atmospheric analysis of spectral hypercubes,FLAASH)和大气模型(second simulation of the satellite signal in the solar spectrum,6S)的大气校正效果。对自然植被、农作物中的高秆作物、硬地建议采用FLAASH进行大气校正,对农作物中的低矮作物,建议采用6S进行大气校正。SPOT-7 satellite images have great value in remote sensing quantitative research and application.Based on it,this article focuses on analyzing and evaluating practicable atmospheric correction methods for SPOT-7 images in different landcover types,and tries to offer statistical reference for its remote sensing research.A synchronous observation experiment is carried out in Song Mountain area.The images for the experimental area of SPOT-7 is successfully obtained and processed with atmospheric correction methods.The atmospheric optical properties and land surface spectrum are synchronously measured on ground.Based on the calculation of image reflectance and vegetation indexes and comparison with spectrum data in ground measurements,the article analyzes the correction outcome of FLAASH and 6 S methods for SPOT-7 images of different landcover types.FLAASH method is recommend for natural vegetation,high-rise crop and firm ground while 6 S for low-rise crop.

关 键 词：SPOT-7 大气校正 FLAASH 6S 植被指数 

分 类 号：P237[天文地球—摄影测量与遥感]