A Wavelet and HSV Pansharpening Technology of High Resolution Satellite Images

High resolution satellite images are used to monitor environmental changes, map-making and military intelligence and forecast natural disasters. Nowadays, these contain spatial dissimilarities due to differences in their radiometry resolution, spectral characteristics and time delay from high resolution satellite sensors (multispectral and panchromatic). The use of pansharpened high spatial resolution images significantly increases the possibility of thematic recognition. Pansharpening is a technique that is used to combine the spatial details of a panchromatic image with the the several spectral bands of a lower resolution multispectral image. To date there have proposed a large number of fusion methods. However, most available methods are not effective for the latest very high resolution, such as WorldView-3 satellite imagery. Most methods for increasing spatial resolution lead to artifacts - objects that are not present in the original scene, but that appear in the resulting image. In this paper, we present the pansharpening technology of high resolution satellite images, using integration of bicubic interpolation, color system HSV and wavelet-transform. The aim of the proposed technology is to obtain the high resolution multispectral satellite image after the previous geometric correction of primary multispectral images and optimal wavelet decomposition into approximation and detail coefficients according to the chosen information value function linear forms. The proposed technology was verified by a number of different satellite data. The experimental evaluations are carried out on WorldView-3 images. Visual and quantitative analyses show that our presented technology can achieve high spectral and spatial quality and outperforms some existing pansharpening methods.