End member extract method of hyperspectral image

A hyperspectral image and endmember extraction technology, which is applied in the field of hyperspectral image endmember extraction, can solve problems such as low precision, unstable endmember set, and affecting accuracy

Inactive Publication Date: 2009-09-23
中国人民解放军海军装备研究院信息工程技术研究所
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Problems solved by technology

In this case, a vertex is obtained, but in fact, it may not be the optimal choice for the subsequent iterative process (for example, it is not significant as a vertex, and the projection values ​​​​of surrounding points are slightly different from it), which will affect accuracy
[0015] In the process

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  • End member extract method of hyperspectral image
  • End member extract method of hyperspectral image
  • End member extract method of hyperspectral image

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Embodiment Construction

[0034] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0035] In order to ensure the stability and universality of the VCA algorithm, the selection and determination of the projection direction must be general, that is, any sample has no special priority for the selection of w. For this purpose, the direction of the center of the convex set is chosen as the projection direction w. Since the direction of the center of the convex set is not easy to determine, other methods are used to approximate it. Consider a convex set of samples, contained within a volume by a hypercube. Suppose the sample set is S, the sample s is d-dimensional, and d i Represents the value on each dimension, then the hypercube can be represented by a co...

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Abstract

The invention discloses an end member extract method of a hyperspectral image, comprising the following steps: projecting a dimensionality reduced hyperspectral image spectrum matrix onto a hyperplane to obtain a monomorphous; selecting the centre direction of an observation spectrum vector set as a projecting direction; projecting the monomorphous alongthe projecting direction; according a projecting result, obtaining a projecting extreme value and a pixel position corresponding thereto, setting up a pixel position index; obtaining a spectrum curve by the projecting extreme value and the position index; getting a next projecting direction with the position index, projecting on a new projecting direction and getting the projecting extreme value, the position index corresponding thereto and the spectrum curve of the end member until that the obtained end member reaches preset end member quantity. The method can reach better extracting precision and better stability.

Description

technical field [0001] The invention relates to the field of hyperspectral image analysis, in particular to an endmember extraction method of a hyperspectral image. Background technique [0002] Hyperspectral technology has achieved a leap in remote sensing technology in the 20th century, and is one of the focuses in the field of international remote sensing today. A hyperspectral image is a set of two-dimensional images obtained by multispectral imaging of a specific target, in which each spectral segment corresponds to a two-dimensional image, and one-dimensional spectral information is added to the two-dimensional image. It has the characteristic of combining graphs and spectra, can reflect the physical characteristics of the measured object, and is used for target detection in complex environments. Hyperspectral images are widely used in space remote sensing, military reconnaissance, agriculture and environmental detection, such as environmental imaging, geological rese...

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Application Information

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IPC IPC(8): G06T7/00G01S7/48
Inventor 孙波何珺肖融余乐军张熙予陶文靖
Owner 中国人民解放军海军装备研究院信息工程技术研究所
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