Hyperspectral imaging /

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Bibliographic Details
Corporate Authors: Elsevier Science & Technology.
Group Author: Amigo, Jose Manuel
Published: Elsevier,
Publisher Address: Amsterdam, Netherlands :
Publication Dates: [2020]
Literature type: eBook
Language: English
Series: Data handling in science and technology ; volume 32
Subjects:
Online Access: https://www.sciencedirect.com/science/bookseries/09223487/32
Item Description: Includes index.
Carrier Form: 1 online resource ()xcix, 699 pages).
ISBN: 0444639780
9780444639783
Index Number: QC454
CLC: O433
Contents: I -- Introduction -- 1.1 -- Hyperspectral and multispectral imaging: setting the scene -- 1.2 -- Configuration of hyperspectral and multispectral imaging systems -- II -- Algorithms and methods -- 2.1 -- Preprocessing of hyperspectral and multispectral images -- 2.2 -- Hyperspectral compression -- 2.3 -- Pansharpening -- 2.4. Unsupervised exploration of hyperspectral and multispectral images -- 2.5 -- Multivariate curve resolution for hyperspectral image analysis -- 2.6 -- Nonlinear spectral unmixing -- 2.7 -- Variability of the endmembers in spectral unmixing -- 2.8 -- An overview of regression methods in hyperspectral and multispectral imaging -- 2.9 -- Classical least squares for detection and classification -- 2.10 -- Supervised classification methods in hyperspectral imaging--recent advances -- 2.11 -- Fusion of hyperspectral imaging and LiDAR for forest monitoring -- 2.12 -- Hyperspectral time series analysis: hyperspectral image data streams interpreted by modeling known and unknown variations -- 2.13 -- Statistical biophysical parameter retrieval and emulation with Gaussian processes -- III -- Application fields -- 3.1 -- Applications in remote sensing--natural landscapes -- 3.2 -- Applications in remote sensing--anthropogenic activities -- 3.3 -- Hyperspectral imaging in crop fields: precision agriculture -- 3.4 -- Food and feed production -- 3.5 -- Hyperspectral imaging for food-related microbiology applications -- 3.6 -- Hyperspectral imaging in medical applications -- 3.7. Hyperspectral imaging as a part of pharmaceutical product design -- 3.8 -- Hyperspectral imaging for artworks investigation -- 3.9 -- Growing applications of hyperspectral and multispectral imaging