Automatic radiometric normalization with genetic algorithms and a Kriging model

An automatic procedure of radiometric normalization is proposed for multi-temporal satellite image correction, with a modified genetic algorithm (GA) regression method and a spatially variant normalization model using the Kriging interpolation. The proposed procedure was tested on a synthetic altere...

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Bibliographic Details
Published in:Computers & geosciences 2012-06, Vol.43, p.42-51
Main Authors: Liu, Shou-Heng, Lin, Ching-Weei, Chen, Yie-Ruey, Tseng, Chih-Ming
Format: Article
Language:English
Subjects:
algorithms
Automatic radiometric normalization
Computer simulation
computers
Genetic algorithm (GA)
Genetic algorithms
image analysis
Kriging
Kriging interpolation
linear models
Mathematical models
Principal component analysis (PCA)
radiometry
Regression
regression analysis
remote sensing
Sampling
Satellites
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Summary:An automatic procedure of radiometric normalization is proposed for multi-temporal satellite image correction, with a modified genetic algorithm (GA) regression method and a spatially variant normalization model using the Kriging interpolation. The proposed procedure was tested on a synthetic altered image and an image pair from FORMOSAT-2; the results show that the GA method is more robust than the conventional PCA methods in high-resolution imaging, and that different regression-error evaluation models have different sensitivities to the linear regression parameters. A statistical comparison demonstrates that 1-km sampling spacing is able to successfully achieve the parameter spatial variation. Error validation on FORMOSAT-2 image pair shows it is a decent combination of radiometric normalization with GA estimation and a spatially variant parameter normalization model. ► Automatic radiometric normalization with genetic algorithms. ► Spatially variant radiometric normalization model validation. ► Kriging radiometric normalization parameter estimation. ► Synthetic and true FORMOSAT-2 image examinations.
ISSN:0098-3004
1873-7803
DOI:10.1016/j.cageo.2011.12.016