Calibration of Multispectral Sensors
Independent thesis Basic level (professional degree), 20 credits / 30 HE creditsStudent thesis
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.
nonuniform correction, infrared sensor, reference based, radiation, graphical userinterface
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:liu:diva-5202ISRN: LiTH-ISY-EX--05/3651--SEOAI: oai:DiVA.org:liu-5202DiVA: diva2:21133
Subject / course
Computer Vision Laboratory