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Proceedings Paper

A quaternion-based method for satellite images pan-sharpening
Author(s): Chahira Serief; Habib Mahi
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Paper Abstract

To date, several pan-sharpening methods have been proposed in the literature. However, conventional Pan-sharpening processes are based on color separation (RGB decomposition for example) of color (spectral) images resulting in significant loss of color information. The aim of this work is to investigate the potential of hypercomplex numbers representation of color images, in particular Quaternion model, for satellite images pan-sharpening. Quaternion model allows color images to be handled as a whole, rather than as color-separated components. That is, the values of the color components (R, G and B for example) of each pixel of a color image are represented as a single pure quaternion valued pixel. The proposed fusion method is based on Quaternion intensity-hue-saturation (QIHS) transform and consists of three steps. First, the color (spectral) image is represented as a pure quaternion image to take into account its particular nature. Then, the IHS transform is applied to the pure quaternion image resampled at the scale of panchromatic (Pan) image. Finally, the image fusion process is done by IHS-based component substitution. The efficiency of the proposed method is tested on Quickbird dataset. A comparative evaluation among the proposed technique and the standard IHSbased method available in the commercial software ENVI is then conducted.

Paper Details

Date Published: 8 November 2012
PDF: 8 pages
Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 85371N (8 November 2012); doi: 10.1117/12.978700
Show Author Affiliations
Chahira Serief, Ctr. National des Techniques Spatiales (Algeria)
Habib Mahi, Ctr. National des Techniques Spatiales (Algeria)

Published in SPIE Proceedings Vol. 8537:
Image and Signal Processing for Remote Sensing XVIII
Lorenzo Bruzzone, Editor(s)

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