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Hyperspectral imaging /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Amigo, Jose Manuel (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, [2020]
Colección:Data handling in science and technology ; v. 32.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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