摘要
从高光谱遥感图像中提取较为精确的定量信息,大气校正是必不可少的步骤.本文在应用大气辐射传输模型对高光谱遥感数据进行大气模拟的基础上,研究并发展基于遥感影像信息的经济、有效的大气辐射校正和反射率反演算法.该算法可以根据遥感图像有效地估计大气中气溶胶的空间分布,并分析交叉辐射的影响,进而对其进行大气辐射校正和反射率反演.通过对几景PH I高光谱遥感图像的校正试验,表明了这种算法的有效性.
To extract quantitative information from the hyperspectral imagery accurately, atmospheric correction is a necessary step. Based on the atmospheric simulation by using atmospheric radiance transfer model to analyze the hyperspectral remote sensing data, the economic and efficient algorithm of the atmospheric correction and surface reflectance retrieval was studied. This algorithm can effectively estimate the spatial distribution of atmospheric aerosols and analyze the adjacent effects according to the remote sensing image. Case study of PHI images demonstrates that the algorithm is very effective to remove heterogeneous atmospheric effects and recover surface reflectance.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2006年第4期316-320,共5页
Journal of Infrared and Millimeter Waves
基金
国家863高技术计划(2001AA131090)资助项目
关键词
大气校正
高光谱
反射率
PHI光谱成像仪
atmospheric correction
hyperspectral
reflectance
pushbroom hyperspectral imager
