IKONOS image fusion process using steepest descent method with bi-linear interpolation

Kazi A. Kalpoma, Koichi Kawano, Jun-Ichi Kudoh

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

There are many image fusion processes to produce a high-resolution multispectral (MS) image from low-resolution MS and high-resolution panchromatic (PAN) images. But the most significant problems are colour distortion and fusion quality. Previously, we reported a fusion process that produced a1 m resolution IKONOS fused image with minimal spectral distortion. However, block distortion appeared at the edge of the curved sections of the fused image, which was reduced by performing the wavelet transformation as a post-process. Here, we propose an image fusion process using the steepest descent method with bi-linear interpolation, which can remove block distortion without using wavelet transformation. Bi-linear interpolation provides the proper initial values of the fused image, and then the steepest descent method produces the optimum results of the fusion process. These results achieve improvement on the spectral as well as spatial quality of a1 m resolution fused image when compared with other existing methods and remove block distortion completely.

Original languageEnglish
Pages (from-to)505-518
Number of pages14
JournalInternational Journal of Remote Sensing
Volume34
Issue number2
DOIs
Publication statusPublished - 2013 Jan 1

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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