TY - CHAP A1 - Keqiang Yu A2 - Yanru Zhao A3 - Xiaoli Li A4 - Yong He ED1 - Jie Chen ED2 - Yingying Song ED3 - Hengchao Li Y1 - 2020-01-22 PY - 2020 T1 - NIR Hyperspectral Imaging for Mapping of Moisture Content Distribution in Tea Buds during Dehydration N2 - Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods. BT - Processing and Analysis of Hyperspectral Data SP - Ch. 5 UR - https://doi.org/10.5772/intechopen.86095 DO - 10.5772/intechopen.86095 SN - 978-1-78985-110-6 PB - IntechOpen CY - Rijeka Y2 - 2021-09-17 ER -