Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten
In this work, different methods for material classification by hyperspectral images in the near infrared range are investigated. Specifically, the design of problem-adapted camera systems and the choice of optimal optical filters are discussed. In addition, a method for the fusion of multiple camera...
Saved in:
Main Author: | |
---|---|
Format: | Book Chapter |
Published: |
KIT Scientific Publishing
2014
|
Subjects: | |
Online Access: | Get Fullteks DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | In this work, different methods for material classification by hyperspectral images in the near infrared range are investigated. Specifically, the design of problem-adapted camera systems and the choice of optimal optical filters are discussed. In addition, a method for the fusion of multiple camera signals by spectral unmixing is presented. |
---|---|
Physical Description: | 1 electronic resource (XI, 222 p. p.) |
ISBN: | KSP/1000043415 9783731502739 |
Access: | Open Access |