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Emissivity image generation of Gaofen-5's thermal infrared bands using ASTER data

机译:使用ASTER数据的高芬-5的热红外带的发射率图像产生

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To explore the application of Gaofen-5's thermal infrared (TIR) data, algorithm development and validations needs to be conducted before its launch; and image simulation is necessary to provide datasets for such research. In this paper, using ASTER imagery as the data source, a simulation method is proposed for Gaofen-5's four TIR bands' emissivity images. For the first 3 bands, emissivity images are generated through translation models built on spectral correlation between emissivity of Gaofen-5 bands and those of ASTER bands. For the 4th TIR band of Gaofen-5, we propose a spectral matching and spectral mixing method for emissivity image generation. To test the feasibility of our simulation method, ASTER thermal infrared emissivities are simulated and then compared with their actual values. Average relative errors of these simulated emissivities are 4.04%, 2.98%, 1.74%, -4.02% and -2.79% in 5 ASTER TIR bands, indicating that our proposed method can be used for emissivity image generation.
机译:为了探讨高芬-5的热红外(TIR)数据的应用,需要在发射之前进行算法开发和验证;和图像模拟是必要的,以便为这种研究提供数据集。在本文中,使用ASTER图像作为数据源,提出了一种为高芬-5的四个TIR频带的发射率图像进行仿真方法。对于前3个频段,通过基于高芬-5频带和紫色频带的发射率之间的光谱相关性的频谱相关性的翻译模型来生成发射率图像。对于4. th 高芬-5的TIR带,我们提出了一种用于发射率图像产生的光谱匹配和光谱混合方法。为了测试我们的仿真方法的可行性,模拟了紫色的热红外发射率,然后与其实际值进行比较。这些模拟发射率的平均相对误差为4.04%,2.98%,1.74%,-4.02%和-2.79%,表明我们所提出的方法可用于发射率图像生成。

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