典型GEO卫星部件光谱散射特性反演方法

Spectral scattering inversion method of GEO satellite components

由整星混合光谱反演卫星特征的核心在于数理模型及反演算法,基于此建立了光谱混合数理模型并进行了实验验证。首先,对部件光谱散射模型、线性光谱混合模型、整星光谱解混方法进行了理论分析;然后,设计实验定标测量了高保真GEO卫星模型及部件的光谱BRDF特性,讨论了部件和材料光谱散射特性的差别;最后,采用非负约束最小二乘法对卫星整体光谱进行了解混分析,最大相对残差小于10%。实验结果表明,线性光谱混合模型及非负约束最小二乘解混方法对于描述卫星光谱混合机理、反演卫星状态具有一定实用意义。

The core of the satellite characteristics inversion based on mixed satellite spectra is the mathematical model and inversion algorithm. Theoretical model of spectral mixing was built with experiments conducted to justify the model. First, theoretical analysis of components ′ spectral scattering model, linear spectral mixing model and unmixing methods of satellite ′ s spectral data was conducted.Then, experiments were designed to measure and calibrate the spectral BRDF of a high-fidelity GEO satellite and its components, while the spectral scattering characteristics of component and material were discussed. Finally, nonnegative constrained least square methods were utilized to unmix the satellite ′ s spectral data, with the largest relative residue less than 10%. Experiment results show that the linear spectral mixing model and nonnegative constrained least square unmixing methods have practical meaning in explaining spectral data of satellites and inversing satellite conditions.