多光谱数据融合分析技术的研究和应用进展

戴嘉伟 王海朋 陈瀑 褚小立

引用本文: 戴嘉伟, 王海朋, 陈瀑, 褚小立. 多光谱数据融合分析技术的研究和应用进展[J]. 分析化学, 2022, 50(6): 839-849. doi: 10.19756/j.issn.0253-3820.210833 shu
Citation:  DAI Jia-Wei,  WANG Hai-Peng,  CHEN Pu,  CHU Xiao-Li. Progress and Application of Multi-Spectral Data Fusion Methods[J]. Chinese Journal of Analytical Chemistry, 2022, 50(6): 839-849. doi: 10.19756/j.issn.0253-3820.210833 shu

多光谱数据融合分析技术的研究和应用进展

    通讯作者: 褚小立,E-mail:chuxl.ripp@sinopec.com
摘要: 现代光谱技术可直接对液体和固体进行快速无损分析,不同类型的光谱有不同的分析侧重点,为实现更全面、更准确的分析,需要结合多种分析手段共同完成。多光谱融合技术是将不同类型的光谱进行优化和整合,实现单光谱优势互补,以获得更全面、更可靠、更丰富的特征数据,达到提高模型预测准确性和稳定性的目的。本文从融合结构入手,分别介绍了低、中、高3种层级的融合策略,探讨了各融合策略的优势及不足,并对近年出现的多光谱数据融合技术的新策略和新方法进行了综述,着重介绍了该技术的研究和应用进展,总结了不同光谱技术在不同领域内的融合策略及方法,对其未来发展方向进行了展望。

English


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  • 收稿日期:  2021-11-11
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