liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Calibration of Multispectral Sensors
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2005 (English)Independent thesis Basic level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis describes and evaluates a number of approaches and algorithms for nonuniform correction (NUC) and suppression of fixed pattern noise in a image sequence. The main task for this thesis work was to create a general NUC for infrared focal plane arrays. To create a radiometrically correct NUC, reference based methods using polynomial approximation are used instead of the more common scene based methods which creates a cosmetic NUC.

The pixels that can not be adjusted to give a correct value for the incomming radiation are defined as dead. Four separate methods of identifying dead pixels are used to find these pixels. Both the scene sequence and calibration data are used in these identifying methods.

The algorithms and methods have all been tested by using real image sequences. A graphical user interface using the presented algorithms has been created in Matlab to simplify the correction of image sequences. An implementation to convert the corrected values from the images to radiance and temperature is also performed.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2005. , 84 p.
Keyword [en]
nonuniform correction, infrared sensor, reference based, radiation, graphical userinterface
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-5202ISRN: LiTH-ISY-EX--05/3651--SEOAI: oai:DiVA.org:liu-5202DiVA: diva2:21133
Subject / course
Computer Vision Laboratory
Uppsok
Technology
Supervisors
Examiners
Available from: 2005-12-20 Created: 2005-12-20 Last updated: 2012-07-02

Open Access in DiVA

fulltext(4573 kB)1369 downloads
File information
File name FULLTEXT01.pdfFile size 4573 kBChecksum MD5
8593c28498a12c0dd6234b1677c4bda86e2a8d368086b038d3e6f3bc4a0aa50b2885afd0
Type fulltextMimetype application/pdf

By organisation
Computer VisionThe Institute of Technology
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 1370 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 491 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf