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A method for automatic extraction of endmembers from hyperspectral images

A hyperspectral image, automatic extraction technology, applied in the field of hyperspectral remote sensing applications, can solve the problem of reducing the accuracy of the number of end members, to achieve the effects of avoiding uncertainty, strong robustness, and high precision

Active Publication Date: 2018-08-17
BEIHANG UNIV
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Problems solved by technology

[0003] The correct estimation of the number of endmembers is the prerequisite for the extraction of endmembers. The result of endmember extraction directly determines the accuracy of mixed pixel decomposition to a certain extent. At present, scholars have proposed many effective endmember extraction algorithms, but most of them are The algorithm mainly estimates the number of endmembers based on the interpretation experience, which often reduces the accuracy of the estimation of the number of endmembers due to the personal experience of the interpreter or the presence of high noise in the spectral data

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  • A method for automatic extraction of endmembers from hyperspectral images
  • A method for automatic extraction of endmembers from hyperspectral images
  • A method for automatic extraction of endmembers from hyperspectral images

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[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail by citing the following embodiments and referring to the accompanying drawings.

[0050] In order to explicitly explore the strengths and weaknesses of the end-metadata estimation method, simulated images will be used as experimental data. Select 5 material spectra from the USGS (United States Geological Survey) spectral library (denoted as P 1 ,P 2 ,P 3 ,P 4 ,P 5 ) constitutes a simulation image according to a certain ratio, and the wavelength range is from 350nm to 1000nm. The simulated image contains 25 square areas, the location of which is as follows image 3 As shown, the pixels in other areas in the image are called background pixels, and their size is the average value of the spectra of five substances (abbreviated as B), and the corresponding background spectral features are in figure 2 drawn in. The ...

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Abstract

The invention relates to a method for automatic extraction of hyperspectral image endmembers, which utilizes the characteristics of hyperspectral data similar to low-dimensional manifold data, adopts the principle of orthogonal projection, and expands the extracted endmembers into orthogonal projection operators , analyze the p-norm value of each pixel vector after projection, and automatically estimate the number of endmembers, thereby extracting endmembers. The invention automatically extracts endmembers, improves the automation of mixed pixel decomposition to a certain extent, and reduces manual intervention. The method has strong robustness and can correctly estimate endmembers even when the signal-to-noise ratio is not high. number, to extract the endmembers.

Description

technical field [0001] The invention relates to the application field of hyperspectral remote sensing, in particular to an automatic extraction method of hyperspectral image endmembers. Background technique [0002] Hyperspectral remote sensing is an important trend in the development of remote sensing technology. It has a large number of spectral channels, usually dozens or even hundreds. This feature has been successfully applied to research in the fields of geological exploration, agricultural and forestry surveys, and environmental monitoring. Impressive results. Hyperspectral has the characteristics of map-spectrum integration, and can obtain the spectral curve and image information of each pixel. With the rapid development of hyperspectral remote sensing technology, the complementary hyperspectral image endmember automatic extraction technology has also received more and more attention. [0003] The correct estimation of the number of endmembers is the prerequisite f...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
CPCG06V10/44
Inventor 李庆波牛春阳
Owner BEIHANG UNIV
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