摘要
针对受大气吸收与散射影响,遥感器得到的测量值与目标物的真实值间存在误差,给反演地表反射率/反照率和地表温度等关键参数带来较大误差,影响图像分析精度的问题,该文利用Landsat-8的光谱响应函数,对OLI多光谱数据进行大气辐射校正和反射率反演,对校正前后的地物光谱曲线和归一化植被指数(Normalized Difference Vegtation Index,NDVI)的变化进行了对比。研究表明:OLI大气校正后较好地恢复各类地物光谱的典型特征;大气校正后NDVI增幅明显;类似的基于光谱响应函数的FLAASH大气校正方法可以为其他的高级陆地成像仪等传感器校正提供依据。
Affected by atmospheric absorption and scattering,there is an error between the true value and the measured value obtained from remote sensor.It caused a big deviation on inversing parameters,such as surface albedo and surface temperature and also affected the accuracy of the image.In order to solve these problems,atmospheric radiation and reflectance were retrieved from OLI multi-spectral data with Landsat-8spectral response function.Comparing the corrected spectral reflective curve and normalized difference vegetation index with the uncorrected one,we can see that this method has a better recovery of spectrum characteristics on various typical objects and NDVI index increases significantly after atmospheric correction of OLI image.This atmospheric correction method based on the FLAASH of spectral response function lays a foundation for calibration of other sensors such as the Advanced Land Imager.
出处
《遥感信息》
CSCD
北大核心
2015年第2期116-119,共4页
Remote Sensing Information
基金
地理空间信息工程国家测绘地理信息局重点实验室开放研究基金资助项目(201313)
