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191002s2020 ne o 001 0 eng d |
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|z 9780444639776
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|a Hyperspectral imaging /
|c [edited by] Jos�e Manuel Amigo.
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|a Amsterdam, Netherlands :
|b Elsevier,
|c [2020]
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|a 1 online resource
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|a text
|b txt
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|a online resource
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|a Data handling in science and technology ;
|v volume 32
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|a Includes index.
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|a Print version record.
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|a 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
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|a Hyperspectral imaging.
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|a Hyperspectral imaging
|x Industrial applications.
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|a Hyperspectral imaging
|2 fast
|0 (OCoLC)fst01983277
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|a Amigo, Jose Manuel,
|e editor.
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|i Print version:
|t Hyperspectral imaging
|z 9780444639776
|w (OCoLC)1120188932
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|a Data handling in science and technology ;
|v v. 32.
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4 |
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|u https://sciencedirect.uam.elogim.com/science/bookseries/09223487/32
|z Texto completo
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