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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Radiometric Characteristics of KOMPSAT-3 Multispectral Images Using the Spectra of Well-Known Surface Tarps
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Radiometric Characteristics of KOMPSAT-3 Multispectral Images Using the Spectra of Well-Known Surface Tarps

机译：KOMPSAT-3多光谱图像的辐射特征

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A vicarious calibration with reference to characterized surface tarps was conducted to determine the first radiometric characteristics of KOMPSAT-3. The 6S radiative transfer model was also used by inputting various initial parameters, such as the spectral response function of KOMPSAT-3, and atmospheric and geometric conditions. Moderate-Resolution Imaging Spectroradiometer atmospheric products, such as aerosol optical depth, precipitable water, and total ozone, were used as input parameters to interpret solar radiation reflection, scattering, and absorption effects. In the first field campaign, the radiometric coefficients from each of the spectral bands were estimated by calculating the predicted radiance at sensor level and the digital number (DN) of KOMPSAT-3 based on a linear least squares fit over a range of target reflectance levels. The second field campaign measurements were also used to upgrade the KOMPSAT-3 DNs to radiance coefficients. The root-mean-square error differences between simulated radiance and measured radiance during the second field campaign for “sensor-to-itself” calibration were 2.072 W/m2 sr (blue), 6.80 W/m2sr (green), 7.512 W/m2sr (NIR), and 5.712 W/m2sr (red), respectively. This highlights that radiometric calibration with tarps is a reliable method. Furthermore, the gain ratio between the first and the second one was < 5%, indicating reasonable radiometric calibration results. Additionally, cross-validation of KOMPSAT-3 with radiometrically well-calibrated Landsat-8 was performed over bright desert. Although the difference between the vicarious calibration with surface tarps and cross-validation with Landsat-8 was significant, reasonable results were obtained under close geometrical conditions, despite inherent vicarious calibration error.
机译：参照表征的表面防水布进行了替代校准，以确定KOMPSAT-3的第一个辐射特征。还通过输入各种初始参数（例如KOMPSAT-3的光谱响应函数以及大气和几何条件）来使用6S辐射传递模型。中分辨率成像光谱仪的大气产品（例如气溶胶光学深度，可沉淀水和总臭氧）被用作输入参数，以解释太阳辐射的反射，散射和吸收效应。在第一次野战中，通过在目标反射率水平范围内的线性最小二乘拟合，计算传感器水平的预测辐射率和KOMPSAT-3的数字数（DN），从而估算出每个光谱带的辐射系数。第二次野战测量也用于将KOMPSAT-3 DN升级到辐射系数。在第二场野战活动中，“传感器到自身”校准期间，模拟辐射与测量辐射之间的均方根误差差为2.072 W / m2 sr（蓝色），6.80 W / m2sr（绿色），7.512 W / m2sr （NIR）和5.712 W / m2sr（红色）。这突显了用防水布进行辐射度校准是一种可靠的方法。此外，第一个和第二个之间的增益比<5％，表明合理的辐射校准结果。此外，在明亮的沙漠上，对KOMPSAT-3与经过辐射计量良好的Landsat-8进行了交叉验证。尽管使用表面防水布进行替代性校准与使用Landsat-8进行交叉验证之间存在显着差异，但是尽管存在固有的替代性校准误差，但在接近几何条件下仍可获得合理的结果。

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