Panchromatic and multispectral remote sensing image fusion method based on regional fitting

Abstract

The invention provides a panchromatic and multispectral remote sensing image fusion method based on regional fitting. The panchromatic and multispectral remote sensing image fusion method comprises the following steps of: carrying out up-sampling on a multispectral image to the size of a panchromatic image, and carrying out the classification on the up-sampled multispectral image through employinga k-means method according to a spectral angular distance; using a least square method to solve a multispectral image weighting coefficient of each category region; and performing texture compensation on each category region of the up-sampled multispectral image by using multiplication to generate fused images of the category regions, and combining the fused images of the category region to obtain a final fused image. The multispectral band weighting coefficient fitting result of the panchromatic and multispectral remote sensing image fusion method is closer to an original panchromatic image,color distortion in the fusion process is reduced, texture detail compensation is carried out by using multiplication operation instead of addition operation in a mainstream fusion algorithm, a better texture compensation effect is achieved for a high-brightness region, and detail distortion in the fusion process is reduced.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to a remote sensing image fusion method, in particular to a panchromatic and multispectral remote sensing image fusion method based on sub-region fitting. Background technique [0002] Optical remote sensing satellites are an important means of earth observation. In order to observe the earth more efficiently, most optical satellites collect panchromatic images and multispectral images at the same time, such as SPOT, Landsat 7, IKONOS, QuickBird, WorldView-2, ZiYuan- 3. GaoFen-1, etc. Generally, for panchromatic and multispectral images in the same phase, panchromatic images have higher spatial resolution and lower spectral resolution, and multispectral images have lower spatial resolution and higher spectral resolution. The reason is that the spectral range of the incident light received by the panchromatic detector (detector) is much wider than that of the multi-sp...

AI Technical Summary

Problems solved by technology

[0006] In actual situation, and The relationship between the bands is not a linear combination, so the generated There will be local color differences between Pan and the original panchromatic image, and these color differences will cause some color information that should not be included in the extracted texture detail information, and these additional color information will lead to color distortion of the fused image

The reason is that the spectral response of different types of ground objects is different, and the linear model cannot perfectly fit all types of ground objects.

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