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
Product details
- File Size: 243403 KB
- Print Length: 800 pages
- Publisher: Elsevier; 1 edition (September 29, 2019)
- Publication Date: September 29, 2019
- Language: English
- ASIN: B07YPYW1G7
- Text-to-Speech:
Enabled
- Word Wise: Not Enabled
- Lending: Not Enabled
-
#102
in Physics of Optics -
#36
in Analytic Chemistry (Kindle Store) -
#24
in Physics of Statics