Adaptive remote sensing image panchromatic sharpening method

Abstract

The invention discloses an adaptive remote sensing image panchromatic sharpening method, and belongs to the technical field of remote sensing image fusion. The spectral distortion of fusion results is reduced, and the sharpening effect of fusion results is improved. The method comprises the following steps: performing interpolation amplification on a low-resolution multispectral image to make the multispectral image and a corresponding panchromatic image have the same resolution; filtering the panchromatic image and the multispectral image of the same resolution to obtain low-frequency components; performing difference operation on the panchromatic image and the multispectral image of the same resolution and the low-frequency components to obtain corresponding high-frequency components; estimating missing initial detail images of the multispectral image on the basis of the high-frequency components of the two images; building an optimization function for the initial detail images, and optimizing the initial detail images in a rapid descent method to obtain final detail images suitable for different channels of the multispectral image; and injecting the final detail images into the corresponding channels of the multispectral image to obtain a high-resolution multispectral image. The adaptive remote sensing image panchromatic sharpening method of the invention is used for remote sensing image panchromatic sharpening.

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...

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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 the traditional IHS fusion method and break through the traditional IHS transformation The fusion 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 and easily causes fusion local artifacts of the result

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