Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 2/27/2014
Publication Date: 10/15/2015
Citation: Yoon, S.C., Park, B. 2015. Hyperspectral image processing methods. In Park and Lu (eds.) Hyperspectral Imaging Technology in Food and Agriculture, Springer, Book Chapter. Chapter 4: pp 81-101.
Interpretive Summary: none
Technical Abstract: Hyperspectral image processing refers to the use of computer algorithms to extract, store and manipulate both spatial and spectral information contained in hyperspectral images across the visible and near-infrared portion of the electromagnetic spectrum. A typical hyperspectral image processing workflow includes normalization, correction, dimensionality reduction, spectral library building, and data processing. In this book chapter, recent advances in hyperspectral image processing algorithms and workflows for hyperspectral image processing are discussed. The main topics are image acquisition, calibration, spectral and spatial preprocessing, scatter correction, binning, and feature extraction and selection.