@inbook{0918261a6e6d49beaebf77b55b58a882,
title = "An overview of regression methods in hyperspectral and multispectral imaging",
abstract = "Pixel-wise and bulk-wise quantitation of compounds in surfaces of different nature using hyperspectral and multispectral images is of a major interest, especially in fields like food and pharmaceutical production. This chapter revises the most common linear methods together with a brief overview of nonlinear methods applied in the regression framework from a practical point of view. The main benefits and drawbacks are discussed focused on applications in food and pharmaceutical production. Moreover, precise guidelines are given to develop calibration/regression models.",
keywords = "ANN, Food, MLR, PCR, Pharma, PLS, SVM, Validation",
author = "Irina Torres and Amigo, {Jos{\'e} Manuel}",
year = "2020",
doi = "10.1016/B978-0-444-63977-6.00010-9",
language = "English",
isbn = "978-0-444-63977-6",
series = "Data Handling in Science and Technology",
publisher = "Elsevier",
pages = "205--230",
editor = "Amigo, {Jos{\'e} Manuel}",
booktitle = "Hyperspectral Imaging",
address = "Netherlands",
}