A quaternion-based method for satellite images pan-sharpening

Chahira Serief; Habib Mahi

doi:10.1117/12.978700

8 November 2012 A quaternion-based method for satellite images pan-sharpening

Chahira Serief, Habib Mahi

Proceedings Volume 8537, Image and Signal Processing for Remote Sensing XVIII; 85371N (2012) https://doi.org/10.1117/12.978700
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom

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.

Citation Download Citation

Chahira Serief and Habib Mahi "A quaternion-based method for satellite images pan-sharpening", Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 85371N (8 November 2012); https://doi.org/10.1117/12.978700

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KEYWORDS

Image fusion

Image processing

RGB color model

Spatial resolution

Earth observing sensors

Satellite imaging

Satellites

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