TY - CHAP AU - Karbhari V. Kale AU - Mahesh M. Solankar AU - Dhananjay B. Nalawade ED - Jie Chen ED - Yingying Song ED - Hengchao Li Y1 - 2019-11-27 PY - 2019 T1 - Hyperspectral Endmember Extraction Techniques 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. 1 UR - https://doi.org/10.5772/intechopen.88910 DO - 10.5772/intechopen.88910 SN - 978-1-78985-110-6 PB - IntechOpen CY - Rijeka Y2 - 2024-03-28 ER -