![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
Colour image fusion is an important topic in the area of remote sensing image processing. Colour distortion occurs when multispectral images and panchromatic images are fused using intensity, hue and saturation (HIS) fusion arithmetic. An optimal image fusion method, based on fuzzy integrals, is proposed in order to keep the spectral and spatial information during the fusion process. As two independent indices, spectral information and spatial resolution information are combined together in this method. In IHS space, the high-frequency feature of intensity value is fused using a multiresolution wavelet, and the low-frequency component of intensity is fused with optimal weight coefficients. Based on the fuzzy integral, spectral and spatial information is used as the quantitative performance indices to determine optimum weight coefficients. The results of tests using QuickBird data and hyperspectral image spectrometer/CCD camera data demonstrate the effectiveness of this method.
Keywords: