Band simulation based pan-sharpening algorithm by linear regression for IKONOS imagery[J]. Journal of Remote Sensing, 2010,14(1):43-54. DOI: 10.11834/jrs.20100104.
In the general fusion framework of optical remote sensing image fusion
the extraction of spatial detail information is one of the two key aspects for the fusion quality.This paper discusses the possibility of constructing the low resolution panchromatic image based on band simulation using linear regression.Firstly
a linear regression equation between panchromatic and multispectral images was modeled
followed by setting weight metric from the corresponding high frequency component of the panchromatic image;then
low resolution panchromatic image was simulated by the regression parameters got in the first step and the spatial detail was extracted;finally
the pan-sharpening procedure was implemented with the spatial detail on IKONOS multispectral and panchromatic imagery.Compared with the method of achieving low resolution panchromatic image based on spectral response function
the proposed method can perform as good as
and sometimes even better than that according to four experiments.Also
the proposal shows its superiority over fast intensity-hue-saturation method.