کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
507719 | 865141 | 2012 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Automatic radiometric normalization with genetic algorithms and a Kriging model Automatic radiometric normalization with genetic algorithms and a Kriging model](/preview/png/507719.png)
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.
Journal: Computers & Geosciences - Volume 43, June 2012, Pages 42–51