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Variational Fusion of Hyperspectral Imagery Based on Spectral Morphology and Gram-Schmidt Transformation Constraints

A fusion method and hyperspectral technology, applied in the field of remote sensing image processing data fusion, to achieve the effect of good spectral information and improved spatial resolution

Active Publication Date: 2021-04-27
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Most fusion methods cannot achieve the fidelity of spectral information well

Method used

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  • Variational Fusion of Hyperspectral Imagery Based on Spectral Morphology and Gram-Schmidt Transformation Constraints
  • Variational Fusion of Hyperspectral Imagery Based on Spectral Morphology and Gram-Schmidt Transformation Constraints
  • Variational Fusion of Hyperspectral Imagery Based on Spectral Morphology and Gram-Schmidt Transformation Constraints

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Embodiment Construction

[0052] 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.

[0053] Embodiments of the present invention provide a hyperspectral image variational fusion method based on spectral morphology and Gram-Schmidt transformation constraints.

[0054] 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:

[0055] 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 variational fusion method based on spectral shape and Gram-Schmidt transformation constraints, including: based on the traditional image variational fusion model, a new spectral shape constraint item and a correlation constraint item are designed; The morphological constraint item uses the spectral morphological features of neighboring pixels and a new weight assignment method to correct the spectral distortion caused by the change of spatial resolution; the correlation constraint item is based on the Gram-Schmidt transformation method to create constraints on the generated image, which improves the fusion image and Correlation of standard reference images. The beneficial effects of the present invention are: the technical solution proposed by the present invention transforms the image fusion problem into an optimization problem of energy equations to reconstruct the fusion image; compared with the traditional variational fusion method, this method can effectively improve the hyperspectral image Spatial resolution, and better maintain the original spectral information in the image.

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...

Claims

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Application Information

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Patent Type & Authority Patents(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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