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A land cover adaptive topographic correction and evaluation method for remote sensing data

机译:遥感数据的土地覆盖自适应地形校正与评估方法

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Most of the empirical topographic correction methods are based on the universal assumptions of the relationship between radiations and solar incident angles. The correction accuracy is hardly to be accessed quantitatively. This paper introduces a land cover adaptive C (LCAC) method for topographic correction, and verifies its advantage quantitatively. Experiments on synthetic and real remote sensing data are performed. The synthetic data derives from the SMARTS2 model, which simulates the surface reflectance and the atmospheric conditions. The global land cover map produced by the National Geomatics Center of China is taken as the auxiliary data. The LCAC outperforms the traditional C method in experiments on both synthetic and real remote sensing data by visual and quantitative assessments.
机译:大多数经验地形校正方法都是基于辐射和太阳入射角之间关系的普遍假设。校正精度很难定量地获得。本文介绍了一种土地利用自适应C(LCAC)进行地形校正的方法,并定量验证了其优势。进行了关于合成和真实遥感数据的实验。综合数据来自SMARTS2模型,该模型模拟了表面反射率和大气条件。以中国国家地理信息中心制作的全球土地覆盖图为辅助数据。通过视觉和定量评估,LCAC在合成和真实遥感数据的实验中均优于传统的C方法。

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