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Hyperspectral image variation fusion method based on spectral form and Gram-Schmidt transformation constraints

A fusion method, hyperspectral technology, applied in the field of remote sensing image processing data fusion

Active Publication Date: 2019-10-29
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

Most fusion methods cannot achieve the fidelity of spectral information well

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  • Hyperspectral image variation fusion method based on spectral form and Gram-Schmidt transformation constraints
  • Hyperspectral image variation fusion method based on spectral form and Gram-Schmidt transformation constraints
  • Hyperspectral image variation fusion method based on spectral form and Gram-Schmidt transformation constraints

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Embodiment Construction

[0053] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0054] Embodiments of the present invention provide a hyperspectral image variational fusion method based on spectral morphology and Gram-Schmidt transformation constraints.

[0055] Please refer to figure 1 , figure 1 It is a flow chart of a hyperspectral image variational fusion method based on spectral morphology and Gram-Schmidt transformation constraints in an embodiment of the present invention, specifically including the following steps:

[0056] S101: Obtain the high-resolution image of the area to be fused and the corresponding hyperspectral image; resample the hyperspectral image so that its spatial resolution is the same as the high-resolution image, and then obtain the resampled high-resolution image A spe...

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Abstract

The invention provides a hyperspectral image variation fusion method based on spectral form and Gram-Schmidt transformation constraints, which comprises the following steps: designing a new spectral form constraint term and a correlation constraint term based on a traditional image variational fusion model; correcting spectral distortion caused by the change of spatial resolution by adopting spectral morphological characteristics of neighborhood pixels and a new weight distribution method by the spectral morphological constraint term; A correlation constraint term establishes constraints basedon a generated image of a Gram-Schmidt transformation method, and the correlation between a fused image and a standard reference image is improved. The method has the beneficial effects that according to the technical scheme provided by the invention, an image fusion problem is converted into an optimization problem of an energy equation to reconstruct a fused image; compared with a traditional variational fusion method, the method has the advantages that the spatial resolution of the hyperspectral image can be effectively improved, and original spectral information in the image can be well kept.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing data fusion, in particular to a hyperspectral image variational fusion method based on spectral morphology and Gram-Schmidt transformation constraints. Background technique [0002] Hyperspectral imagery can provide multi-band and fine spectral information, and is widely used in forest mapping, urban environment simulation and agricultural quality inspection. However, the optical remote sensing system is affected by the incident energy, satellite load and transmission bandwidth, which makes it difficult to improve the spatial resolution and spectral resolution of the image at the same time. Therefore, the spatial resolution of hyperspectral remote sensing images is usually lower than that of other images. Remote sensing image fusion technology can combine hyperspectral images and high-resolution images in the same area to generate ideal high-resolution hyperspectral images...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/10036G06T2207/20221
Inventor 刘修国黄泽华陈启浩沈永林陈涛
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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