Spectrum correction using modeled panchromatic image for pansharpening

Naoko Tsukamoto, Yoshihiro Sugaya, Shinichiro Omachi

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Pansharpening is a method applied for the generation of high-spatial-resolution multispectral (MS) images using panchromatic (PAN) and multi-spectral images. A common challenge in pansharpening is to reduce the spectral distortion caused by increasing the resolution. In this paper, we propose a method for reducing the spectral distortion based on the intensity–hue–saturation (IHS) method targeting satellite images. The IHS method improves the resolution of an RGB image by replacing the intensity of the low-resolution RGB image with that of the high-resolution PAN image. The spectral characteristics of the PAN and MS images are different, and this difference may cause spectral distortion in the pansharpened image. Although many solutions for reducing spectral distortion using a modeled spectrum have been proposed, the quality of the outcomes obtained by these approaches depends on the image dataset. In the proposed technique, we model a low-spatial-resolution PAN image according to a relative spectral response graph, and then the corrected intensity is calculated using the model and the observed dataset. Experiments were conducted on three IKONOS datasets, and the results were evaluated using some major quality metrics. This quantitative evaluation demonstrated the stability of the pansharpened images and the effectiveness of the proposed method.

Original languageEnglish
Article number6040020
JournalJournal of Imaging
Issue number4
Publication statusPublished - 2020 Apr 6


  • Intensity correction
  • Model
  • Pansharpening
  • Relative spectral response graph
  • Spectrum correction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering


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