Page Banner

United States Department of Agriculture

Agricultural Research Service

Research Project: Optical Detection of Food Safety and Food Defense Hazards

Location: Quality and Safety Assessment Research Unit

Title: Hyperspectral image processing

Authors
item Yoon, Seung-Chul
item Park, Bosoon

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: February 27, 2014
Publication Date: N/A

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.

Last Modified: 12/26/2014
Footer Content Back to Top of Page