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Spectrum Reconstruction from Multiple Band Spectrum Data using an Inversion Technique

机译:使用反演技术从多频带频谱数据重构频谱

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摘要

Spectrum reconstruction methods provide a low-cost and feasible approach to acquiring abundant spectral information from indigent optical spectral data. This paper presents a smart method for spectrum reconstruction from the viewpoint of spectrum mechanism. First, the PROSPECT model, which is the spectrum model used, and the spectrum factors are discussed. Then a spectral factor inversion method based on the particle swarm optimization algorithm is described and a spectrum reconstruction method is proposed that employs this inversion method. The paper concludes by showing some experimental results that demonstrate the effectiveness of the proposed reconstruction method.
机译:频谱重建方法提供了一种低成本且可行的方法,可从稀有光谱数据中获取大量光谱信息。从频谱机制的角度出发,提出了一种智能的频谱重构方法。首先,讨论使用的频谱模型PROSPECT模型以及频谱因子。然后描述了一种基于粒子群优化算法的谱因子反演方法,并提出了一种利用该反演方法的谱重构方法。本文最后通过显示一些实验结果来证明所提出的重建方法的有效性。

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