AN INVESTIGATION OF EFFICIENCY OF PAN-SHARPENING METHODS OF HIGH RESOLUTION SATELLITE IMAGES
DOI:
https://doi.org/10.32782/KNTU2618-0340/2020.3.2-1.11Keywords:
remote sensing; hyperspherical color transform; spatial images; high spatial resolution; wavelet decomposition; normalized difference vegetation indexAbstract
In recent years, satellites imaging systems have been developing rapidly. Nowadays, these satellites allow to obtain data with a spatial resolution of half a meter or less to monitoring the state of forests, sea areas, shelves, etc. Images of high spatial resolution are required to use of special methods of their processing. Therefore, in this paper we analyze the effectiveness of the known methods of fusion high spatial resolution satellite images. The pansharpening methods under consideration were the GIHS, the Brovey, the HPF, the HCT, wavelet-transform and the combined HSV-HCT for conducts their detailed comparative analysis. Image quality assessment plays an important role in the processing of satellite images, especially when using methods to increase the information content of images. Experimental evaluation performed on eight-primary satellite images of high spatial resolution obtained WorldView-2 satellite. Quantitative characteristics of spectral properties of synthesized images were obtained by calculating the NDVI index. The NDVI index for the methods "Brovey" and HPF indicate color distortion in comparison with the reference data. This is due to the fact that the Brovey and HPF methods are based on the fusion of three channel images and do not include the information contained in the near infrared range. The quantitative (RMSE, ERGAS та NDVI) and visual results show the superiority of the combined HSV-HCT method over the conventional and state-of-art image resolution enhancement techniques of high resolution satellite images. This is achieved, in particular, by preliminary processing of primary images, data processing localized spectral bases, optimized performance information, and the information contained in the infrared image. The experimental results show that a synthesized high spatial resolution image with high information content is achieved with the complex use of fusion methods, which makes it possible to increase the spatial resolution of the original multichannel image without color distortions.
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