AUTOMATED PANSHARPENING INFORMATION TECHNOLOGY OF SATELLITE IMAGES

Context. Nowadays, information technologies are widely used in digital image processing. The task of joint processing satellite obtained by different space systems that have spatial differences is important. already known pansharpening methods to improve the quality resulting image, there new scientific problems associated with increasing requirements for high-resolution and development automated technology data further thematic analysis. Most resolution techniques result artifacts. Our work explores major remote sensing fusion at pixel level reviews concept, principals, limitations advantages each technique program implementation research. Objective. goal analyze effectiveness traditional pan-sharpening like Brovey, wavelet-transform, GIHS, HCT combined method images high-spatial resolution. Method. In this paper we propose high automation choosing best based on analysis quantitative qualitative evolutions. involves scaling multispectral size panchromatic image; using histogram equalization adjust primary aligning integral areas sections brightness; conversion after spectral correction methods; results conducts their detailed comparative visual evaluation. allows determining analyzing metrics: NDVI index, RMSE ERGAS. index Brovey HPF indicate color distortion comparison reference data. This due fact three channel do not include contained near infrared range. ERGAS show superiority HSVHCT-Wavelet over conventional state-of-art enhancement images. achieved, particular, preliminary images, localized bases, optimized performance information, image. Results. software implementing proposed developed. experiments study properties algorithm conducted. Experimental evaluation performed eight-primary WorldView-2 satellite. experimental a synthesized content achieved complex use methods, which makes it possible increase original multichannel without distortions. Conclusions. confirmed graphical interface obtain addition, will effectively carry out recognition real-time monitoring infrastructure.