Spectral unmixing method based on normalized ground object subspace projection
A spectral unmixing and spatial projection technology, applied in the field of spectral unmixing, can solve problems such as negative component abundance, unsuitable quantitative analysis and evaluation, and lack of physical constraints, achieving reliable results, clear physical meaning, and simplified The effect of solving the formula
Pending Publication Date: 2021-04-27
MINJIANG UNIV
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[0003] The least squares criterion and orthogonal subspace projection under fully constrained conditions are the main methods for linear spectral unmixing, but due to the lack of physical constraints, the calculated component abundances appear negative, which is not suitable for quantitative analysis and evaluation
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[0024] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. The specific embodiments described here are only used to explain the present invention, not to limit 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.
[0025] The present invention provides such as figure 1 A spectral unmixing method based on normalized object subspace projection is shown, which specifically includes the following steps:
[0026] A spectral unmixing method based on normalized surface object subspace projection, specifically comprising the following steps:
[0027] Step S1: Define the endmember spectral space, that is, the ground object subsp...
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The invention discloses a spectral unmixing method based on normalized ground object subspace projection, and the method specifically comprises the following steps: S1, defining an end member spectral space, i.e., a ground object subspace as a standard base, and knowing that a hyperspectral image can be expressed as an extended space of the ground object subspace according to the definition of a linear space; S2, simultaneously translating the end member matrix and the image matrix by using the reference end member, wherein the geometric relationship between the end member and the pixel is not changed in the process according to the coordinate translation property; S3, correcting a formula; S4, labeling the visited activity of the user; S5, unmixing the analog data; and S6, unmixing real data, eliminating correlation between components by means of a known reference end member by means of normalized ground object subspace projection, and translating an end member matrix and an image matrix by means of the reference end member, thereby eliminating an error caused by an original point when a pixel is projected in an end member direction.
Description
technical field [0001] The invention relates to the technical field of spectral unmixing, in particular to a spectral unmixing method based on normalized ground object subspace projection. Background technique [0002] With the development of science and technology, remote sensing and earth observation technology has become increasingly mature, and has gradually become one of the important means of obtaining spatial geographic information. However, due to the limitation of the spatial resolution of the hyperspectral imager and the complexity of natural objects, some pixels of the obtained remote sensing images may be a mixture of several different material spectra, that is, mixed pixels. How to effectively realize the decomposition of mixed pixels has become an important direction of remote sensing research. The accurate decomposition of mixed pixels has important application value for high-precision ground object classification and ground target detection and recognition, ...
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IPC IPC(8): G06K9/00G06K9/62G06F30/20G01N21/25G06F111/04
CPCG06F30/20G01N21/25G06F2111/04G06V20/194G06V20/13G06F18/24
Inventor 许承权洪碧琼张宁吴永红
Owner MINJIANG UNIV