Hyperspectral Imaging, Volume 32 is a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of the applications in different scientific and industrial areas. The different application fields in which hyperspectral imaging has clearly demonstrated its advantages have bloomed in recent years. This book collects, for the first time, a comprehensive study of the main multivariate algorithms that have been used for hyperspectral image analysis in different fields of application. The benefits, drawbacks, and suitability of each are fully discussed, along with examples of applications. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields. Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussedCovers state-of-the-art applications in different scientific fieldsDiscusses the implementation of hyperspectral devices in different environments INDICE: Section 1. Introduction 1.1. Hyperspectral images. From remote sensing to bench top instruments. A general overview 1.2. Hyperspectral cameras. Types of hyperspectral cameras, radiations and sensors Section 2. Algorithms and Methods 2.1. Pre-processing. Spatial and spectral issues 2.2. Hyperspectral data compression 2.3. Hyperspectral super-resolution 2.4. Pansharpening 2.5. Unsupervised pattern recognition methods 2.6. Multivariate curve resolution 2.7. Non-linear spectral un-mixing 2.8. Spectral un-mixing and variability of endmembers 2.9. Regression models 2.10. Classification 2.11. Mixing spatial with spectral signatures 2.12. Hyperspectral Image fusion 2.13. Hyperspectral video analysis 2.14. Advances in statistical biophysical parameter retrieval and model inversion Section 3. Application Fields 3.1. Hyperspectral cameras adapted to the applications. How and when 3.2. Remote sensing 3.3. Vegetation and crops 3.4. Food and feed production 3.5. Biochemistry 3.6. Medical imaging 3.7. Pharmaceutical production 3.8. Artwork 3.9. Industrial hyperspectral imaging 3.10. Forensic sciences, and more Section 4. Appendices 4.1. List of abbreviations 4.2. List of tables 4.3. List of figures
- ISBN: 978-0-444-63977-6
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 450
- Fecha Publicación: 01/09/2018
- Nº Volúmenes: 1
- Idioma: Inglés