Panchromatic sharpening method of spectral image based on fusion of overall structural information and spatial detail information

摘要

The present invention provides a panchromatic sharpening method of spectral image based on fusion of overall structural information and spatial detail information, comprising: performing brightness linear stretching on a panchromatic image, so as to set the variance of the panchromatic image to be equal to the variance of said spectral image; respectively interpolating N components of the spectral image so as to generate an interpolation image series having the same resolution as that of the panchromatic image; subtracting the interpolation image series from the panchromatic image after said linear stretching to obtain difference images; performing Gauss filtering on the difference images, thereby obtaining difference tendency images; and, respectively subtracting the difference tendency image series from the panchromatic image after said linear stretching, thus obtaining fused images. The method can maintain both spectral fidelity and texture detail fidelity of the fused images, support high computation speed, and has wide applicability.

主权项

1. A panchromatic sharpening method of spectral image based on fusion of overall structural information and spatial detail information, comprising:
A) performing brightness linear stretching on a panchromatic image, so as to set the variance sP of the panchromatic image to be equal to the variance sS of a corresponding spectral image; B) respectively interpolating N components of the spectral image, thereby generating interpolation images I1, I2, K, IN having the same resolution as that of the panchromatic image; C) subtracting the interpolation images I1, I2, K, IN from the panchromatic image after said linear stretching, thereby obtaining difference images D1, D2, K, DN; D) performing Gauss filtering on the difference images D1, D2, K, DN, thereby obtaining difference tendency images S1, S2, K, SN; and E) respectively subtracting the difference tendency images S1, S2, K, SN from the panchromatic image after said linear stretching, thus obtaining fused images U1, U2, K, UN.