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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
【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。
【Abstract】 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.
【Key words】 remote sensing; adjacency effect; SHDOM; synchronized measured spectral data; atmospheric point spread function;
- 【文献出处】 光学学报 ,Acta Optica Sinica , 编辑部邮箱 ,2010年11期
- 【分类号】TP751
- 【被引频次】9
- 【下载频次】282