V. V. Hnatushenko, O. O. Kavats, V. Yu. Shevchenko


In this paper we solve an actual problem of development of information technology to improve the visual quality of multi-channel space
images of high spatial resolution. The object of the research is the process of fusing panchromatic and multispectral photogrammetric images obtained coordinate-sensitive sensors in the visible and infrared regions of the electromagnetic radiation. The subject of research are methods make preliminary and synergistic multi-channel data processing to improve the quality of the resulting image and reduce the color distortion. The purpose of the work is to increase the spatial resolution of the automated primary multi-channel images and compared with existing methods of eliminating color distortion in the local areas. In addition, the proposed technology will effectively carry out further recognition and real-time monitoring infrastructure. In the paper we propose a new information pansharpening technology based on HSV-converting and hyperspherical color conversion, which allows not only to improve the spatial resolution of the primary digital image, but also avoid the spectral distortion. This is achieved, in particular, by image pre-equalization, data processing localized spectral bases, optimized performance information, and the information contained in the infrared image. The software implementing proposed method is developed. The experiments to study the properties of the proposed algorithm are conducted. Experimental evaluation performed on eight-channel images obtained WorldView-2 satellite. Test results confirmed that the proposed approach can achieve high spectral and spatial quality multichannel images and outperforms existing methods.


scanner images, the wavelet transform, hyperspherical color transform, informative, pansharpening.


Шовенгедт Р. А. Дистанционное зондирование. Методы и модели обработки изображений / Р. А. Шовенгердт. – М. : Техносфера, 2010. – 560 с. 2. Pohl C. Review article multisensor image fusion in remote sensing: Concepts, methods and applications / C. Pohl, J. L. van Genderen // International Journal Remote Sensing. – 1998. – № 19. – P. 823–854. DOI: 10.1080/014311698215748. 3. A Survey of Classical Methods and New Trends in Pansharpening of Multispectral Images / [I. Amro, J. Mateos, M. Vega, R. Molina, A. K. Katsaggelos] // EURASIP Journal on Advances in Signal Processing. – Vol. 1/79. – P. 79. DOI: 10.1186/ 1687–6180–2011–79. 4. Zhang J. Multi-source remote sensing data fusion: Status and trends / J. Zhang // International Journal of Image and Data Fusion. – 2010. – № 1. – P. 5–24. DOI: 10.1080/ 19479830903561035. 5. Padwick C. WorldView-2 pan-sharpening / C.Padwick, M. Deskevich, F. Pacifici, S. Smallwood // ASPRS: Conference, San Diego, California, 26–30 April, 2010: proceedings. – San Diego, 2010. – P. 99–103. 6. Wang Z. Image Quality Assessment: From Error Visibility to Structural Similarity / Z. Wang, A. C. Bovik, H. R. Sheikh, E.P. Simoncelli // IEEE Transactions on Image Processing. – 2004. – Vol. 13, No. 4.– P. 600–612. DOI: 10.1109/TIP.2003.819861. 7. Wald L. Quality of High Resolution Synthesised Images: Is There a Simple Criterion? / L. Wald // Fusion of Earth Data: Merging Point Measurements, Raster Maps and Remotely Sensed Images: Third Conference, Sophia Antipolis, 26–28 January 2000: proceedings. – Sopia Antipolis, France, 2011. – P. 99–103. 8. Zhang Y. An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural color IKONOS and QuickBird images / Y. Zhang, G. Hong // International Journal of Image and Data Fusion. – 2005. – № 6. – P. 225–234. DOI:10.1016/j.inffus.2004.06.009. 9. Гнатушенко В. В. Злиття аерокосмічних зображень високого просторового розрізнення на основі HSV-перетворення та вейвлет-декомпозиції / В. В. Гнатушенко, В. Ю. Шевченко //Вісник ХНТУ. – 2014. – № 2 (47). – С. 100–105. 10. Гнатушенко В. В. Інформаційна технологія підвищення просторової розрізненості цифрових супутникових зображень на основі ІСА- та вейвлет-перетворень / В. В. Гнатушенко, О. О. Кавац // Вісник Національного університету «Львівська політехніка», серія «Комп’ютерні науки та інформаційні технології». – 2013. – № 771. – С. 28–32.

GOST Style Citations

Copyright (c) 2015 V. V. Hnatushenko, O. O. Kavats, V. Yu. Shevchenko

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Address of the journal editorial office:
Editorial office of the journal «Radio Electronics, Computer Science, Control»,
National University "Zaporizhzhia Polytechnic", 
Zhukovskogo street, 64, Zaporizhzhia, 69063, Ukraine. 
Telephone: +38-061-769-82-96 – the Editing and Publishing Department.

The reference to the journal is obligatory in the cases of complete or partial use of its materials.