Mixed pixel unmixing method and system for space artificial target linear model

A linear model and mixed pixel technology, applied in image analysis, image enhancement, climate sustainability, etc., can solve problems such as inability to make full use of data space information, and achieve high precision, fast convergence, and strong robustness Effect

Active Publication Date: 2020-04-14
BEIHANG UNIV
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Problems solved by technology

However, most existing methods cannot fully exploit the spatial information of the data

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  • Mixed pixel unmixing method and system for space artificial target linear model
  • Mixed pixel unmixing method and system for space artificial target linear model
  • Mixed pixel unmixing method and system for space artificial target linear model

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[0062] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0063] The object of the present invention is to provide a mixed pixel unmixing method and system for a linear model of a space man-made target. In the non-negative matrix decomposition, a quadratic function constraint term representing the sparsity of material abundance and a space group sparsity constraint term are introduced to improve The accuracy of mixed pixel unmixing is improved.

[0064] In order to make the above objects, features and advantages of t...

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Abstract

The invention relates to a mixed pixel unmixing method and system of a space artificial target linear model. Imaging spectral data of a space artificial target are acquired. Superpixel segmentation iscarried out on collected imaging data. Spatial information and spectral information of the imaging spectral data are fully combined, and a superpixel group sparse non-negative matrix mixed pixel unmixing method is introduced into standard non-negative matrix decomposition. The method is based on a linear hybrid model. A space group sparse constraint term and an abundance quadratic function constraint term are introduced into a standard non-negative matrix. The space structure information of the sample data is considered in the space group sparse constraint item. The quadratic function constraint term of abundance better describes the distribution rule of the surface material forming the space artificial target, so that the unmixing precision of the mixed pixel is improved. The existence of a pure pixel does not need to be assumed. The end member and abundance of the mixed pixel of the space artificial target can be obtained at the same time, and the robustness to noise is better.

Description

technical field [0001] The invention relates to the field of mixed pixel unmixing, in particular to a mixed pixel unmixing method and system for a linear model of a space artificial target. Background technique [0002] In recent years, the competition for space resources has become increasingly tense, and space monitoring has attracted great attention. Space target detection is an important part of space surveillance. It determines the target according to the target size, shape, orbital parameters and other characteristics, which has very important military value. Space targets mainly refer to various in-orbit spacecraft and space debris flying around the earth outside the atmosphere. Space debris generally refers to the waste and its derivatives left by humans in space, such as defunct satellites, spacecraft that have completed missions, aging components, and some ejecta produced by satellites in orbit. With the improvement of human science and technology, more and more ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06K9/62
CPCG06T7/11G06T2207/10032G06F18/23213G06F18/22Y02A90/10
Inventor 李庆波赵瑞光
Owner BEIHANG UNIV
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