Remote sensing image fusion method based on multi-redundancy dictionary and sparse reconstruction

Abstract

The invention discloses a remote sensing image fusion method based on multi-redundancy dictionary and sparse reconstruction and mainly solves the problem that spectral information and spatial resolution are imbalanced in multi-spectrum and panchromatic image fusion process. The remote sensing image fusion method includes steps of 1, splitting high-resolution panchromatic image and low-resolution multi-spectrum image blocks; 2, summing various wave bands linearly of the low-resolution multi-spectrum image blocks to obtain low-resolution spectrum-strength image blocks; 3, acquiring the high-resolution spectrum-strength image blocks according to the low-resolution spectrum-strength image blocks; 4, acquiring fusion image blocks according to the high-resolution spectrum-strength image blocks and the low-resolution multi-spectrum image blocks; 5, combining the fusion image blocks to obtain fusion images. The remote sensing image fusion method has the advantages of spectrum retainability and high spatial resolution of the fusion images and can be used for object identification, meteorological monitoring, environmental monitoring, urban planning and disaster and damage prevention and reduction.

Description

technical field [0001] The invention belongs to the technical field of intelligent image processing, and in particular relates to an image fusion method, which can be used in target recognition, meteorological monitoring, environmental monitoring, land utilization, urban planning, and disaster prevention and reduction. Background technique [0002] In recent years, satellite technology has developed rapidly on a global scale. So far, major developed countries and a few developing countries in the world, including China and India, have launched hundreds of satellites successively. The operating bands cover visible light to invisible near-infrared, Short-wave infrared, mid-infrared, far-infrared, microwave and other broad frequency domains. These satellites transmit massive amounts of satellite remote sensing data covering the globe to satellite ground stations and mobile receiving stations scattered around the world every day. These remote sensing data provide rich and valua...

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Problems solved by technology

[0007] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a remote sensing image fusion method based on multiple redundant dictionaries and sparse reconstruction, to solve the problem of spectral information and space in the fusion process of multispectral and panchromatic images in the prior art. It is difficult to balance the resolution and improve the quality of the fusion image

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