An improved topographic correction model based on Minnaert |
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Authors: | Mingliang Gao Huili Gong Wenji Zhao Beibei Chen Zheng Chen Min Shi |
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Institution: | 1. Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Beijing 100048, China;2. Key Laboratory of Resources Environment and GIS of Beijing Municipal, Beijing 100048, China;3. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;4. Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China;5. Key Laboratory of Resources Environment and GIS of Beijing Municipal, Beijing 100048, China |
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Abstract: | The uneven distribution of solar radiation due to topographic relief can significantly change the correlation between reflectance and other features such as biomass in rugged terrain regions. In this article, we use the transfer theory to improve the Minnaert approach. After comparing topographic correction methods for Landsat 8 Operational Land Imager (OLI) and EO-1 Advanced Land Imager (ALI) imagery acquired from the mountainous region in Beijing, China, we used visual inspection, statistical analysis, and correlation analysis to evaluate the algorithms and performance of the proposed Minnaert-E approach. The results indicate that corrections based on non-Lambertian methods have better performance than those based on the Lambertian assumption. The correction performances can be ranked as the Minnaert-E, followed by the Minnaert and the SCS+C corrections, and, finally, the C-HuangWei correction, which performed the worst. We found that the Minnaert-E approach can effectively weaken the influence of terrain relief on pixels and restore the true reflectance of the pixels in the relief area. Further analysis indicates that the Minnaert-E has a better effect on image processing where the slope gradient is restricted to less than 10° or between 30° and 43°. |
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Keywords: | topographic correction non-Lambertian reflection models sky isotropic scattering adjacent terrain reflection Landsat 8 OLI |
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