摘要
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.
原文 | English |
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頁(從 - 到) | 42-51 |
頁數 | 10 |
期刊 | Computers and Geosciences |
卷 | 43 |
DOIs | |
出版狀態 | Published - 2012 6月 |
All Science Journal Classification (ASJC) codes
- 資訊系統
- 地球科學電腦