面向高速公路环境的CBERS-02B影像大气校正研究  被引量:1

The Study of Atmospheric Correction of HighwayEnvironment-oriented CBERS-02B Images

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作  者:周铮鹏 郭云开[1] 肖晴牧 

机构地区:[1]长沙理工大学交通运输工程学院,湖南长沙410076 [2]湖南省交通科学研究院,湖南长沙410015

出  处:《北京测绘》2015年第1期30-33,共4页Beijing Surveying and Mapping

摘  要:在高速公路环境遥感中,定量反演依赖精确的光谱反射率,因此,大气校正非常重要。本文基于高速公路路域植被环境遥感的大气校正特点,针对贵州省三凯高速路域的CBERS-02B卫星数据采用FLAASH大气校正,研究中结合路域环境遥感紧密相关的评价因子,分析校正前后路面、路域植被、河流和裸地的反射率和NDVI值变化,不同地物在其敏感波段的反射率更接近真值,校正后的NDVI也更接近利用地面实测数据的计算值。结果表明FLAASH大气校正能快速、较准确地消除大气因素对CBERS-02B数据的影响,能够有效地应用于路域影像纠正,服务于高速公路环境遥感监测。In remote sensing of highway environment, the atmospheric correction is very important because the quantitative inversion depends on accurate spectral reflectivity. This article is based on the characteristics of atmospheric correction of highway vegetation environmental remote sensing, and using FLAASH to finish the atmospheric correction of CBEERS 02B satellite data for Sanhui highway in Guizhou Province. Evaluation factors closely related to the environment are considered in this article. After analysis and correction, the spectral reflectivity on sensitive band and the NDVI values of dif ferent kinds of features on the ground are closer to the values from ground observations. The results show that FLAASH can eliminate the influence of atmospheric factors faster and accurately for CBERS 02B images, can be used for correction of highway area images and can serve for highway environmental monitoring using RS.

关 键 词:CBERS-02B FLAASH 大气校正 NDVI 高速路域环境 定量反演 遥感监测 

分 类 号:P237[天文地球—摄影测量与遥感]

 

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