Mixed pixel decomposition method of high-spectral remote sensing image

A hybrid pixel decomposition and hyperspectral remote sensing technology is applied in the field of remote sensing image processing to achieve the effect of improving decomposition accuracy and performance and increasing total variation space constraints.

Inactive Publication Date: 2018-08-10
NANCHANG INST OF TECH
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Problems solved by technology

[0008] The technical problem to be solved by the present invention is to overcome the deficiencies of the existing technologies, provide a hyperspectral remote sensing image mixed pixel decomposition method, aiming at the difficult problem of solving the L0 model in the existing hyperspectral remote sensing image sparse unmixing techno

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[0034] Aiming at the problem that the L0 model is difficult to solve in the existing hyperspectral remote sensing image sparse unmixing technology. The idea of ​​the present invention is to use a new approximate sparse model to replace the L0 model to solve, and on this basis, considering the complex multi-scale spatial geometric structure of hyperspectral remote sensing images, the total variation space constraint is added, so that the mixed image The accuracy and performance of element decomposition are significantly improved.

[0035] Specifically, in the hyperspectral remote sensing image mixed pixel decomposition method of the present invention, the number of endmembers in the hyperspectral remote sensing image is first estimated; then based on the estimated number of endmembers, the multi-scale non-negative matrix with approximate sparse constraints is used to The decomposition method performs mixed pixel decomposition to obtain the endmember matrix and abundance matrix ...

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Abstract

The invention discloses a mixed pixel decomposition method of a high-spectral remote sensing image. A multi-scale non-negative-matrix decomposition algorithm of approximately sparsity constraint is applied to demixing of the high-spectral remote sensing image, and a new approximate sparse model replaces an L0 model for solution aimed at the problem that the L0 model in the sparsity de-mixing technology of the high-spectral remote sensing image is hard to solve, and on such basis, the complex multi-scale space geometric structure of the high-spectral remote sensing image is considered, a totalvariation space constraint is added, and the decomposition precision and performance of mixed pixels are improved obviously.

Description

technical field [0001] The invention relates to remote sensing image processing technology, in particular to a hyperspectral remote sensing image mixed pixel decomposition method. Background technique [0002] Because hyperspectral data can simultaneously record information of hundreds of spectral segments in the same scene, it is widely used in many fields. However, due to the low spatial resolution of the hyperspectral sensor and the complex diversity of ground objects, the spectra of spatially adjacent substances are inevitably fused together, resulting in the mixing phenomenon of hyperspectral data, which greatly affects the ground. Accuracy of object recognition and differentiation. Hyperspectral unmixing technology can decompose these mixed pixels into typical ground object spectra (endmembers) and the proportion of corresponding spectra (abundance). [0003] The linear hyperspectral unmixing technique is a standard technique for spectral unmixing. It can decompose t...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/194G06V20/13
Inventor 徐晨光邓承志朱华生王军吴朝明彭天亮
Owner NANCHANG INST OF TECH
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