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在织品分类中的挑战和光谱可解释性:NIR高光谱图像和化学测量

Giulia Gorla1, Frederik Nielsen2, Patrick Bowen Montague2

  • 1Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country UPV/EHU, Sarriena s/n, 48940 Leioa, Basque Country, Spain.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|July 12, 2025
PubMed
概括

近红外 (NIR) 超光谱成像通过分析纤维成分,显示出可持续的织品分类和回收的前景. 在检测像弹性这样的小组件和计算光谱变异性方面仍然存在挑战.

关键词:
收购挑战 收购挑战化学测量 化学测量 化学测量进行分类和回收利用.频谱特征是指光谱的特征.织品 织品是一种

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