Opening book details…
Can I read Techniques and Applications of Hyperspectral Image Analysis on EtoBox?
Techniques and Applications of Hyperspectral Image Analysis by [edited by] Hans Grahn and Paul Geladi is a nonfiction available to read on EtoBox.
What is Techniques and Applications of Hyperspectral Image Analysis about?
Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral techniques, and includes definitions and instrument descriptions. Other imaging topics that are covered are segmentation, regression and classification. The book discusses how high quality images of large data files can be structured and archived. Imaging techniques also demand accurate calibration, and are covered in sections about multivariate calibration techniques. The book explains the most important instruments for hyperspectral imaging in more technical detail. A number of applications from medical and chemical imaging are presented and there is an emphasis on data analysis including modeling, data visualization, model testing and statistical interpretation.
Who reads Techniques and Applications of Hyperspectral Image Analysis?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- [edited by] Hans Grahn and Paul Geladi
- Publisher
- Chichester, England ; Hoboken, NJ: J. Wiley
- Published
- 2007
- Language
- EN
- ISBN
- 9780470010884
- Category
- nonfiction
- Subjects
- Science, Technology, Chemistry
More by [edited by] Hans Grahn and Paul Geladi
Browse all works by [edited by] Hans Grahn and Paul Geladi
Similar books
- Hyperspectral Imaging Analysis and Applications for Food Quality (Food Analysis & Properties) — Basantia, N. C.; Kamruzzaman, Mohammed; Nollet, Leo M. L (2019)
- Hyperspectral Data Processing : Algorithm Design and Analysis — chein-I chang (2013)
- Advances in Hyperspectral Image Processing Techniques (IEEE Press) — Chein-I Chang (2022)
- Deep Learning for Hyperspectral Image Analysis and Classification (Engineering Applications of Computational Methods, 5) — Atif Mughees Linmi Tao (2021)
- Hyperspectral Imaging : Techniques for Spectral Detection and Classification — Chein-I Chang (2003)
- Plant Image Analysis : Fundamentals and Applications — edited by S. Dutta Gupta and Yasuomi Ibaraki. (2014)