An Adaptive Panchromatic Sharpening Method of Remote Sensing Image

Abstract

The invention discloses an adaptive remote sensing image panchromatic sharpening method, which belongs to the technical field of remote sensing image fusion, reduces the spectral distortion of the fusion result, and improves the sharpening effect of the fusion result. The low-resolution multispectral image is interpolated and enlarged so that the multispectral image has the same resolution as the corresponding panchromatic image; the panchromatic image and the multispectral image with the same resolution are filtered to obtain their low frequency components; The resolution panchromatic image and the multispectral image are differentiated from their low frequency components to obtain the corresponding high frequency components; based on the high frequency components of the two, the initial detail image missing from the multispectral image is estimated; an optimization function for the initial detail image is constructed , combined with the rapid descent method to optimize the initial detail image to obtain the final detail image suitable for different channels of the multispectral image; inject the final detail image into the corresponding channel of the multispectral image to obtain a high-resolution multispectral image. The invention is used for panchromatic sharpening of remote sensing images.

Description

technical field [0001] An adaptive panchromatic sharpening method for remote sensing images, used for panchromatic sharpening of remote sensing images, involving remote sensing image processing, image fusion, panchromatic sharpening and other fields, specifically involving a fusion of panchromatic images and multispectral images The method belongs to the technical field of remote sensing image fusion. Background technique [0002] Satellite remote sensing images are currently widely used image types, mainly used in environmental monitoring, geological exploration, weather forecasting and other fields. Due to the limitations of satellite sensor technology, the same sensor cannot simultaneously acquire satellite images with high spatial resolution and high spectral resolution. Satellites now collect two different types of image data through two sensors: panchromatic images and multispectral images, where panchromatic images have higher spatial resolution and multispectral ima...

AI Technical Summary

Problems solved by technology

[0004] Tu et al. proposed a fast IHS fusion method in the document "A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery" to greatly reduce the time overhead of traditional IHS fusion methods and break through the traditional IHS transformation fusion The method can only fuse RGB three-channel images

However, this method does not effectively reduce the spectral distortion produced by the traditional IHS transform fusion method

Rahmani et al. proposed an adaptive IHS fusion method in the document "An Adaptive IHS Pan-Sharpening Method". Although this method effectively reduces the spectral distortion of the fusion result, it also reduces the sharpening effect, which is likely to cause fusion results local artifacts

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