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Method for fusing high-spectrum image and visible light image based on nonnegative matrix decomposition

A non-negative matrix factorization and hyperspectral image technology, applied in the field of remote sensing image processing

Active Publication Date: 2015-02-04
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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Problems solved by technology

[0006] In order to overcome the inadequacy of the fusion of hyperspectral images and visible light images in the field where existing image fusion methods are not applicable, the main purpose of the present invention is to provide a method for fusing hyperspectral images and visible light images based on non-negative matrix decomposition

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  • Method for fusing high-spectrum image and visible light image based on nonnegative matrix decomposition
  • Method for fusing high-spectrum image and visible light image based on nonnegative matrix decomposition

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[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be pointed out that the described examples are only intended to facilitate the understanding of the present invention, and do not have any limiting effect on it. The method used in the present invention can be installed and executed in the form of software on personal computers, industrial computers and servers, and can also be embodied in the form of embedded chips in the form of hardware.

[0032] figure 1 A flowchart of a method for fusing hyperspectral images and visible light images based on non-negative matrix factorization according to an embodiment of the present invention is given, and the method includes the following steps:

[0033] Step S1: Unmixing the hyperspectral image using a non-negative matrix ...

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Abstract

The invention discloses a method for fusing a high-spectrum image and a visible light image based on nonnegative matrix decomposition. The method comprises the steps that the high-spectrum image is unmixed in a nonnegative matrix decomposition method based on sparsity constraint to obtain an end member spectrum curve; the mixed coefficient of each pixel in the image is solved by constrained quadratic programming according to the spectrum absorption curve of the visible light image and the end member spectrum curve obtained by unmixing; and the end member spectrum curve obtained by unmixing and the mixed coefficient of each pixel are linearly mixed to obtain the fused image of high spatial resolution and high high-spectrum images. The method disclosed by the invention solves the problem that spectra in some wave bands of the high-spectrum image are irrelevant to the visible light image. The high-spectrum image is unmixed by nonnegative matrix decomposition based on sparsity constraint to obtain a more accurate end member spectrum. At the same time the mixed coefficient of the pixel can be obtained by the constrained quadratic programming. The obtained fused image has high spatial resolution and high spectrum resolution.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a method for fusing hyperspectral images and visible light images based on non-negative matrix decomposition, which is used for the fusion of hyperspectral images and visible light images acquired by aerospace and aviation sensor platforms. Background technique [0002] In the field of remote sensing image processing, for optical sensors, the spatial resolution and spectral resolution of images are a pair of contradictory factors. To obtain an image with high spatial resolution you can only work with a single spectrum, and to obtain a hyperspectral image you have to reduce the spatial resolution. Hyperspectral images are useful in detecting the types of substances on the surface and the atmosphere, evaluating and measuring the content of substances reflected in the spectrum, determining the area ratio of each component in a spatial unit of spectral mixing,...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
Inventor 王颖江碧涛潘春洪郭建恩张秀玲
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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