
Hyperspectral Imaging
- 1st Edition, Volume 32 - September 29, 2019
- Imprint: Elsevier
- Editor: Jose Manuel Amigo
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 4 - 6 3 9 7 7 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 4 - 6 3 9 7 8 - 3
Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis… Read more
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Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. 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 discussed
- Covers state-of-the-art applications in different scientific fields
- Discusses the implementation of hyperspectral devices in different environments
Scientists, academics, and graduate students in various disciplines working with hyperspectral images, including remote sensing, vegetation and crops, food and feed production, forensic sciences, biochemistry, medical imaging, pharmaceutical production, and art studies
- Edition: 1
- Volume: 32
- Published: September 29, 2019
- Imprint: Elsevier
- Language: English
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