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[一种用于校正遥感影像地形效应的改进物理模型]

[An improved physical model to correct topographic effects in remotely sensed imagery].

作者信息

Zhang Zhao-ming, He Guo-jin, Liu Ding-sheng, Wang Xiao-qin, Jiang Hong

机构信息

Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100190, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2010 Jul;30(7):1839-42.

Abstract

Topographic correction for remotely sensed imagery is an important preprocessing step in order to improve the retrieval accuracy of land surface spectral reflectance in mountainous area. Various kinds of topographic correction models have been proposed in the literature. Each model has its advantages and limitations. In consideration of the limitations of the topographic correction models in the literature, an improved Shepherd topographic correction model is proposed in this paper. Diffuse irradiance is an essential factor in the physically based topographic correction model. While in the Shepherd model (originally proposed by Shepherd et al. in 2003), accuracy of the method to compute the diffuse irradiance is relatively low; therefore, the accuracy of the land surface spectral reflectance retrieved with the Shepherd model is impacted. In order to improve the accuracy of diffuse irradiance, hence the accuracy of land surface spectral reflectance, a different method (named the Perez model), is used to obtain the diffuse irradiance with higher accuracy in the improved Shepherd model. Landsat 5 Thematic Mapper (TM) imagery acquired on July 12th 2006, over the mountainous areas in the north of Beijing city, was employed to retrieve land surface spectral reflectance with the improved Shepherd topographic correction model and 6S (Second Simulation of the Satellite Signal in the Solar Spectrum) atmospheric radiative transfer model. Correction results were tested with three different methods. Testing result shows that the improved Shepherd topographic correction model can achieve a good correction result and is better than Shepherd and C topographic correction model. What is more, this improved model is physically based and can be applied to all kinds of optical satellite imagery.

摘要

遥感影像的地形校正对于提高山区地表光谱反射率的反演精度而言是一个重要的预处理步骤。文献中已提出了各类地形校正模型。每个模型都有其优缺点。考虑到文献中地形校正模型的局限性,本文提出了一种改进的谢泼德地形校正模型。漫射辐照度是基于物理的地形校正模型中的一个关键因素。然而在谢泼德模型(最初由谢泼德等人于2003年提出)中,计算漫射辐照度的方法精度相对较低;因此,用谢泼德模型反演的地表光谱反射率的精度受到影响。为了提高漫射辐照度的精度,进而提高地表光谱反射率的精度,在改进的谢泼德模型中采用了一种不同的方法(称为佩雷斯模型)来更精确地获取漫射辐照度。利用2006年7月12日在北京北部山区获取的陆地卫星5号专题制图仪(TM)影像,采用改进的谢泼德地形校正模型和6S(太阳光谱中卫星信号的二次模拟)大气辐射传输模型来反演地表光谱反射率。用三种不同方法对校正结果进行了检验。检验结果表明,改进的谢泼德地形校正模型能取得良好的校正效果,且优于谢泼德和C地形校正模型。此外,这种改进模型基于物理原理,可应用于各类光学卫星影像。

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