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Spectrum Correction Using Modeled Panchromatic Image for Pansharpening.

Naoko Tsukamoto1, Yoshihiro Sugaya1, Shinichiro Omachi1

  • 1Graduate School of Engineering, Tohoku University, Sendai, Miyagi 980-8579, Japan.

Journal of Imaging
|August 30, 2021
PubMed
Summary

This study introduces a novel pansharpening method to reduce spectral distortion in multi-spectral (MS) images. The technique models panchromatic (PAN) images using relative spectral response graphs for improved satellite image resolution.

Keywords:
IKONOSintensity correctionmodelpansharpeningrelative spectral response graphspectrum correction

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Area of Science:

  • Remote Sensing
  • Image Processing

Background:

  • Pansharpening enhances spatial resolution of multi-spectral (MS) images using panchromatic (PAN) data.
  • Spectral distortion is a key challenge in pansharpening, impacting image quality.
  • Existing methods for spectral distortion reduction often depend on specific image datasets.

Purpose of the Study:

  • To propose a novel pansharpening method to mitigate spectral distortion.
  • To improve the quality of high-spatial-resolution multi-spectral satellite images.

Main Methods:

  • The proposed method is based on the Intensity-Hue-Saturation (IHS) technique.
  • It models low-spatial-resolution PAN images using relative spectral response graphs.
  • Corrected intensity is calculated using the spectral model and observed image data.

Main Results:

  • Experiments on three IKONOS datasets demonstrated effectiveness.
  • The method showed stability in generated pansharpened images.
  • Quantitative evaluation confirmed the proposed technique's performance.

Conclusions:

  • The proposed method effectively reduces spectral distortion in pansharpening.
  • It offers a stable and reliable approach for enhancing satellite MS images.
  • This technique contributes to improved remote sensing data analysis.