Techniques and Applications of Hyperspectral Image Analysis

Released on by Hans Grahn
preview-18

  • Techniques and Applications of Hyperspectral Image Analysis Book Detail

  • Author : Hans Grahn
  • Release Date : 2007-09-27
  • Publisher : John Wiley & Sons
  • Genre : Science
  • Pages : 390
  • ISBN 13 : 9780470010877
  • File Size : 58,58 MB
DOWNLOAD BOOK

Techniques and Applications of Hyperspectral Image Analysis by Hans Grahn PDF Summary

Book Description: 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.

Disclaimer: www.yourbookbest.com does not own Techniques and Applications of Hyperspectral Image Analysis books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Hyperspectral Image Analysis

Hyperspectral Image Analysis

File Size : 86,86 MB
Total View : 1031 Views
DOWNLOAD

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a

Hyperspectral Image Processing

Hyperspectral Image Processing

File Size : 96,96 MB
Total View : 5996 Views
DOWNLOAD

Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, dista