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Application of Visible-near Infrared Spectral Imaging for Monitoring Biological Materials
摘要: N ear infrared (NIR) spectroscopy is a powerful tool for the non-destructive evaluation of biological materials due to its generally weak absorption bands. Biological materials such as wood and plant leaves have a complicated structure in which the distribution of chemical composition and surface structure is non-uniform. Therefore, an imaging technique which combines high spatial resolution with the ability to acquire signal from a wider sample area is required. Three-dimensional image data such as hyperspectral imagery or a movie file has plenty of both spectral and spatial information. However, the visible-near infrared (vis-NIR) spectrum and the time profile of a single pixel normally display strong multicollinearity, thus requiring multivariate analysis for effective extraction of valuable information from three-dimensional image data. This article introduces two examples of image analysis for the non-destructive monitoring of biological materials.
关键词: spectroscopy,multivariate analysis,NIR,imaging,biological materials,hyperspectral,non-destructive evaluation,infrared
更新于2025-09-23 15:23:52