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Pansharpening technology of high resolution multispectral and panchromatic satellite images

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Category: Information technologies, systems analysis and administration

Last Updated on 06 November 2015

Published on 06 November 2015

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Authors:

V.V. Hnatushenko, Dr. Sci. (Tech.), Professor, O. Honchar Dnipropetrovsk National University, Head of the Department Automated Information Processing Systems, Dnipropetrovsk, Ukraine.

Vik.V. Hnatushenko, Cand. Sci. (Tech.), Associate Professor, National Metallurgical Academy of Ukraine, Senior Lecturer of Department Information Technologies And Systems, Dnipropetrovsk, Ukraine.

O.O. Kavats, Cand. Sci. (Tech.), Associate Professor, National Metallurgical Academy of Ukraine, Senior Lecturer of Department Information Technologies And Systems, Dnipropetrovsk, Ukraine.

V.Yu. Shevchenko, O. Honchar Dnipropetrovsk National University, Postgraduate Student, Dnipropetrovsk, Ukraine.

Abstract:

Purpose. To increase the spatial resolution of multispectral satellite images and prevent the spectral distortion in the local area.

Methodology. Technology based on HSV-, IСA- and Wavelet-transforms involves the loading of primary different spatial resolution images of the same scene; conversion of primary images after the spectral correction to the HSV color space; wavelet decomposition of the resulting images; wavelet formation of the synthesized RGB-image in which the contribution of the corresponding low-frequency components of the image is taken into account by means of linear forms. Determination of their coefficients is formulated as an optimization problem under the criterion of maximizing the information characteristics, such as entropy. Then the following activities take place: a direct ICA-transform of the obtained RGB-image, replacement of the first ICA-component of the image by the primary panchromatic image, application of the inverse ICA-transform. The result is a synthetic multispectral image of high spatial resolution.

Findings. The new technology based on HSV, IСA- and wavelet transforms has been developed to increase information content of aerospace multichannel images. The effectiveness of the proposed method has been tested on the eight-channel satellite Worldview-2 images. The results indicate that the synergistic processing of multichannel scanner data using the proposed information technology gives better results, and the synthesized image is more informative and details objects without color distortion. The resulting synthesized images are characterized by a great contrast and clarity on the boundaries of “the object of interest - the background”.

Originality. The already known methods to improve the quality of multichannel images, such as Gram-Schmidt process, Brovey transform, principal component analysis, independent component analysis, IHS-algorithm and others do not take into account the construction peculiarities of modern scanning devices, appropriate structures and data formats, which leads to colors distortion of the original image. In contrast to the above-mentioned methods, the proposed method allows to save the spectral information of original multi-channel images at higher spatial resolution. Furthermore, it is possible to avoid color distortion and achieve a more detailed digital image, especially in the areas where objects of interest are shaded.

Practical value. Information technology can be used in the space image processing to increase the spatial resolution of multispectral satellite images. In addition, the use of the proposed technology can effectively carry out further recognition and real-time monitoring of the military equipment dislocation, construction of infrastructure facilities, etc.

References:

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http://dx.doi.org/10.1117/1.JRS.7.073698

5. Li, S., Kwok, J.T. and Wang, Y. (2002), “Using the discrete wavelet frame transform to merge Landsat tm and Spot panchromatic images”, Information Fusion, Vol. 3, pp. 17–23.

Doi: 10.1016/S1566-2535(01)00037-9

6. Gonzalez-Audicana, M., Saleta, J.L., Catalan, R.G., and Garcia, R. (2004), “Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition”, IEEE Transactions Geoscience Remote Sensing, vol. 42, no. 6, pp. 1291–1299, Jun. 2004.

Doi: 10.1109/TGRS.2004.825593

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8. Hnatushenko, V., Kavats, A. and Safarov, O. (2013), Doslidzhennia vplyvu kharakterystyk veivletiv na efektyvnist obiednannia fotohrammetrychnykh zobrazhen [The Influence on the Efficiency Characteristics of Wavelets Association Photogrammetric Images], Applied Geometry and Engineering Graphics, Proceedings of the Taurian State Agro-Technical University, Melitopol.

Гнатушенко В.В Дослідження впливу характеристик вейвлетів на ефективність об’єднання фотограмметричних зображень / В.В.Гнатушенко, О.О. Кавац, О.О.Сафаров // «Прикладна геометрія та інженерна графіка», Праці Таврійського державного агротехнічного університету – 2013. – Вип. №4. – Т. №56. – С. 33–40.

9. Wang, Z., Bovik, A.C., Sheikh, H.R. and Simoncelli, E.P. (2004), “Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Transactions on Image Processing, Vol. 13, no. 4, pp. 600–612. http://dx.doi.org/10.1109/TIP.2003.819861.

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2015-11-03  1.12 MB  1048

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