Spectral unmixing methods to estimate materials on satellite surface

Marie-Astrid A. Cauquy, M. Roggemann, T. Schulz
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引用次数: 1

Abstract

The concept of using non-imaging measurements (NIM) to obtain information about satellites is discussed. We present the use of sunlight spectral measurements to estimate the composition of satellites exterior surface. We simulate the sunlight spectrum after reflection on a satellite surface by using real spectral measurements from 14 different materials commonly used on satellite surface. Several methods have been developed and tested: a linear constrained estimator and method based on the singular value decomposition (SVD) of the material database. The constrained estimator gives the best estimate regarding the presence of materials in the synthetic spectrum and regarding the relative quantity of the materials in the spectrum when both methods detect the correct materials present in the synthetic spectrum.
估算卫星表面物质的光谱解混方法
讨论了利用非成像测量(NIM)获取卫星信息的概念。我们提出了利用太阳光谱测量来估计卫星外表面成分的方法。利用卫星表面常用的14种不同材料的真实光谱测量数据,模拟了卫星表面反射后的太阳光谱。已经开发和测试了几种方法:线性约束估计器和基于材料数据库奇异值分解(SVD)的方法。当两种方法都检测到合成光谱中存在的正确材料时,约束估计器给出了关于合成光谱中存在的材料和光谱中材料的相对数量的最佳估计。
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