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宽空间覆盖、高观测频率传感器往往具有较大的观测视场,大观测视场带来的问题是不同位置和不同时间的太阳—观测几何不同。因此,在半经验的核驱动BRDF模型基础上,提出一种新的模型用于遥感数据太阳—观测几何归一化,利用植被指数组成的二次多项式作为基于核驱动的半经验BRDF模型中体散射部分和几何光学散射部分的核系数,并使用目标在不同时间的多角度观测数据反推用于太阳—观测几何转换的模型系数。分别利用红色和近红外波段的模拟数据和真实观测数据对模型进行验证,结果表明新提出模型的模拟值与真实观测值具有较好的一致性,能够应用于遥感图像的太阳—观测几何转换。
Wide space coverage, high observation frequency sensor often has a larger observation field of view, the problem caused by the large observation field is the sun at different locations and at different times - observation geometry is different. Therefore, based on the semi-empirical nuclear-driven BRDF model, a new model is proposed for the solar-observational geometry normalization of remote sensing data. The quadratic polynomial of vegetation index is used as the kernel-driven semi-empirical BRDF model Scattering part and geometrical optics scattering part, and using the multi-angle observation data of the target at different times to inversely deduct the model coefficients for the solar-observation geometric transformation. The model is validated by simulation data and real observation data in red and near infrared band respectively. The results show that the proposed model has good agreement with the real observation values and can be applied to the solar-observational geometric transformation of remote sensing images.