基于SHDOM经验方程和基于同步实测光谱数据的遥感影像邻近效应校正算法对比研究  

A Comparative Study of Two Remote Sensing Image Adjacency Effectm Correction Algorithms Based on SHDOM Empirical Equation and Synchronized Measured Spectral Data

作　　者：王倩[1] 陈雪[2] 马建文[3] 陈建平[1] 

机构地区：[1]中国地质大学国土资源与高新技术研究中心,北京100083 [2]中国科学院遥感应用研究所,北京100101 [3]中国科学院对地观测与数字地球科学中心,北京100101

出　　处：《光学学报》2010年第11期3342-3348,共7页Acta Optica Sinica

基　　金：国家自然科学基金(40901234);中国科学院知识创新工程青年人才领域前沿项目专项项目和中国科学院遥感应用研究所遥感科学国家重点实验实资助项目(08501100CX)资助课题

摘　　要：从背景反射率计算和真实反射率获取两个方面,以Landsat-5 TM影像、ASTER影像以及与两幅影像分别对应的沙地、草地同步实测光谱数据作为数据源,对基于三维辐射传输模型SHDOM经验方程的垂直观测光学遥感影像邻近效应校正方法和基于与影像同步实测光谱数据的遥感影像邻近效应校正方法进行了对比研究。结果表明,从辐射传输机理上,基于SHDOM经验方程的邻近效应校正算法的理论基础更为完善;而从校正后影像的目视效果上,基于同步实测光谱数据的邻近效应校正算法则更为有效。In terms of background reflectance computation and true reflectance acquisition,the two adjacency effect correction algorithms are studied comparatively.One is based on three-dimensional radiative transfer model SHDOM（Spectral Harmonics Discrete Ordinary Method） empirical equation for the nadir-viewing optical remote sensing image and the other is based on the synchronically measured spectral data.The data sources are Landsat-5 TM image with synchronized measured spectral data of sand,and ASTER image with synchronized measured spectral data of grass.The results demonstrate that the adjacency effect correction algorithm based on SHDOM empirical equation has more profound theoretical foundation according to the radiative transfer theory,and the image corrected by the adjacency effect correction algorithm based on the synchronized measured spectral data looks better.

关 键 词：遥感 邻近效应 SHDOM 同步实测光谱数据 大气点扩展函数 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]