Radiometric correction for linear change-detection techniques: analysis in bi-temporal space
Radiometric corrections can remove or reduce inconsistencies induced by temporal factors in multi-temporal images, but their effectiveness for change detection is still unclear. This study applied a physics-based model to pseudo-invariant features (PIFs) and showed that absolute correction is in principle equivalent to relative correction in change-detection studies if the spatial heterogeneity of the atmosphere is not rigorously considered. Bi-temporal space analysis revealed that the performance of a linear change-detection algorithm depends on whether the determined slope of the no-change zone coincides with that of the PIF line, offering insight into the effectiveness of radiometric correction. A case examination showed that either absolute or relative correction adjusted the paired image bands to a common standard. However, the corrections did not necessarily reduce the bias in the zone slope determined by the change-detection algorithm, illustrating the futility of performing either absolute or relative corrections for linear change-detection techniques, except for image differencing.
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Document Type: Research Article
Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan,Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
Arid Land Research Center, Tottori University, Tottori 680-0001, Japan
Faculty of Agriculture, Yamaguchi University, Yamaguchi 753-8515, Japan
Publication date: 2007-01-01
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