Fusion method for multispectral image and panchromatic satellite image

Abstract

The invention discloses a fusion method for a multispectral image and a panchromatic satellite image. The method includes: respectively extracting SIFT feature points of the multispectral image and the panchromatic satellite image, and performing dimension reduction processing; performing rough matching and mismatching removal of the SIFT feature points after dimension reduction processing by employing a BBF algorithm, and performing accurate matching by employing affine transformation; performing HIS transformation of the multispectral image after accurate matching, obtaining components of brightness, saturation, and chromaticity, respectively performing wavelet transform of the brightness component and a histogram of the panchromatic satellite image, performing high-frequency replacement and inverse wavelet transform of wavelet transform results of the brightness component and the histogram in sequence, and obtaining a new brightness component; and updating the new brightness component via preset parameters, and performing HIS inverse transformation of the updated brightness component, the saturation component, and the chromaticity component in order to realize image fusion. According to the method, accurate and effective registration of the panchromatic satellite image and the multispectral image can be realized, and the fusion image is effectively obtained.

Description

technical field [0001] The invention relates to the technical field of satellite remote sensing image processing, in particular to a multi-spectral image and panchromatic satellite image fusion method. Background technique [0002] At present, in the fusion technology of remote sensing images, the fusion of multispectral image MS and high spatial resolution panchromatic image PAN is the most important category. After the fusion of multispectral images and panchromatic images, obtaining remote sensing images with high spatial resolution and spectral quality is a current research hotspot. Some remote sensing image processing methods commonly used in the past, such as HIS (brightness, saturation, chroma) transformation and PCA (Principal Component Analysis) transformation fusion method, the fused image always occurs while maintaining a high spatial resolution. Severe spectral distortion phenomenon. How to improve the spatial resolution while maintaining the spectral quality o...

AI Technical Summary

Problems solved by technology

Compared with the traditional pixel-level image fusion method, wavelet transform image fusion has good spectral quality, but its preservation of spatial detail information is insufficient, and the fused image often appears blurred or even "ghosting" phenomenon

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