Interpolation sub-pixel mapping based on multiple subpixel shifted images based on a consideration of the point spread function effect

In this paper, the interpolation sub-pixel mapping (ISM) based on multiple sub-pixel shifted images (MSSIs) based on a consideration of the point spread function (PSF) effect, named as MSSI-PSF, is proposed. In the proposed MSSI-PSF, MSSIs are first unmixed to produce the coarse fractional images. Second, under considering the PSF effect, the improved coarse fractional images are obtained by applying the area-to-point kriging (ATPK) and then the ideal square-wave filter to the coarse fractional images. Third, the improved coarse fractional images are upsampled by interpolation to obtain the upsampled fractional images, and then the upsampled fractional images are integrated to obtain a fine fractional image. Finally, according to the fine fractional images from all MSSIs, the class allocation method is utilized to assign class labels to sub-pixels to obtain the final mapping result. The experimental results show that the proposed MSSI-PSF model produces better mapping result than the existing ISM models.

Automated summary

This paper proposes a new interpolation sub-pixel mapping model MSSI-PSF, which improves the quality of coarse fractional images by considering the PSF effect and achieves better mapping results using a class allocation method.