Remote Sensing Image Fusion Method

Abstract

The invention discloses a remote sensing image fusion method. The method comprises the following steps of: constructing three-layer pyramid structures for panchromatic images and multi-spectral imagesrespectively, and sampling down panchromatic images and multi-spectral images of the three-layer pyramid structures respectively to obtain the re-extracted panchromatic images and re-extracted multi-spectral images corresponding to the three-layer pyramid structures; according to the spectral energy relationship between the re-extracted panchromatic images and the re-extracted multispectral images, the preliminary fusion coefficients of the remote sensing images corresponding to the re-extracted panchromatic images and the re-extracted multispectral images with the same pyramid structure arecalculated. According to the restored multi-spectral image, the object type of each pixel in the restored panchromatic image is determined. The initial fusion coefficients of pyramid structures are adjusted according to the geographic features, and the final fusion coefficients are obtained. The panchromatic image and multi-spectral image are fused according to the final fusion coefficients. The remote sensing image fusion method of the invention can improve color fidelity and clarity and enhance detail information of the fusion image.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a remote sensing image fusion method. Background technique [0002] With the rapid development of modern remote sensing technology, the means of obtaining data by remote sensing are increasing, and various earth observation satellites continue to provide remote sensing data with different spatial resolutions, spectral resolutions, and time resolutions. However, due to the principle of remote sensing satellite imaging Due to the limitations of different and technical conditions, any single information source cannot fully reflect the characteristics of the target object, and it is difficult to have the characteristics of high spatial and high spectral resolution at the same time, so it has certain limitations on the application. [0003] Traditional multispectral images and panchromatic band images of remote sensing images can be realized by fusion methods such as principal ...

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Problems solved by technology

[0002] With the rapid development of modern remote sensing technology, the means of obtaining data by remote sensing are increasing, and various earth observation satellites continue to provide remote sensing data with different spatial resolutions, spectral resolutions, and time resolutions. However, due to the principle of remote sensing satellite imaging Due to the limitations of different and technical conditions, any single information source cannot fully reflect the characteristics of the target object, and it is difficult to have the characteristics of high spatial and high spectral resolution at the same time, so it has certain limitations on the application

[0003] Traditional multispectral images and panchromatic band images of remote sensing images can be realized by fusion methods such as principal component transform, wavelet transform, and HIS transform. There are color casts in the fusion results, and some details are lost.

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