An image amalgamation method based on SFIM and IHS conversion

Abstract

The invention discloses an image fusing method based on SFIM and IHS transformation, which carries out pretreatment, such as geometric registration, de-noising, etc., for high spatial resolution images and high spectral resolution images; carries out HIS transformation for the RGB wave bands(R<0>, G<0>,B<0>) of the original high spatial resolution images with IHS transformation formula and respectively extracts I, H, and S components; carries out SFIM calculation for I component based on (I) formula, that is substituting I for P, high spatial resolution images for P, and obtains I through calculation; obtains R, G and B based on IHS inversion formula, and then obtains the fusing result through superimposing wave bands. The invention introduces SFIM model, and presents the fusing method of combining SFIM and HIS, which can not only conspicuously maintain spectral characteristics, but also avoid introducing complex, time-consuming frequency decomposition and reconstruction process.

Description

technical field [0001] The invention relates to an image processing method, in particular to an image fusion method. Background technique [0002] In view of the characteristics of massive, diverse and complex remote sensing data, and the coexistence of complementarity and redundancy among data, how to process multi-source remote sensing data efficiently and at high speed has become an urgent problem to be solved in the field of remote sensing applications. For this reason, based on the fusion purpose of "improving the spatial resolution while maintaining the spectral information of the source image as much as possible", a variety of fusion methods have been proposed and widely used: "IEEE Transactions on Geoscience and Remote Sensing" published in 1999 "Multiresolution-Based Image Fusion with Additive WaveletDecomposition"; in 2006, "Proceeding of the 2006 IEEE International Conference on Mechatronics and Automation" published the article "Wavelet Based Remote Sensing Image...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of the existing technology that cannot avoid spectral distortion, or need to introduce complex and time-consuming frequency decomposition and reconstruction processes, the present invention provides an image fusion method based on SFIM and IHS transformation, introduces the SFIM model, and proposes the SFIM and IHS phase The combined fusion method can not only significantly maintain the spectral characteristics but also avoid the introduction of complex and time-consuming frequency decomposition and reconstruction processes

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