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Mixed pixel decomposition method based on local similar pixels

A hybrid pixel decomposition, pixel technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of limited wide application and negative values, to improve prediction accuracy, improve efficiency and accuracy, reduce the effect of interference

Active Publication Date: 2019-06-11
INST OF SOIL SCI CHINESE ACAD OF SCI
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  • Claims
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AI Technical Summary

Problems solved by technology

In addition, the spectrum decomposed by ICA has changed in the value range of each band, and there will be negative values, which need further processing before it can be applied.
Therefore, the above problems limit the wide application of this algorithm in the field of hybrid spectral information decomposition

Method used

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  • Mixed pixel decomposition method based on local similar pixels
  • Mixed pixel decomposition method based on local similar pixels
  • Mixed pixel decomposition method based on local similar pixels

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Embodiment Construction

[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0040] The present invention designs a mixed pixel decomposition method based on local similar pixels, which is used to obtain the soil spectrum in the target area. In practical applications, based on figure 2 The relationship between the three data forms of the pixel, spectrum and matrix shown, specifically includes the following steps.

[0041] Step A. Obtain the remote sensing image data of the target area, and obtain the average spectrum of the bare soil end members in the target area according to the remote sensing image, and then enter step B.

[0042] Step B. Use a mobile window with a preset size w×w, and select an unselected area in the remote sensing image as the current area to be processed by sliding the mobile window horizontally and vertically sequentially, as the current area to be processed, then the cur...

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Abstract

The invention relates to a mixed pixel decomposition method based on local similar pixels. remote sensing image data is used as a data source;screening rules are set, pixels with the same spectrum composition is selected to construct a reasonable and effective mixed spectrum matrix; and the soil spectrum and the vegetation spectrum are separated from the mixed spectrum matrix by adopting a non-negative matrix decomposition method to extract the soil spectrum information, and the influence of external factors such as vegetation coverage on the soil spectrum information is weakened, so that theremote sensing prediction precision of the soil attribute information is improved. The method has important significance for improving the existing remote sensing monitoring precision of soil properties, provides a new method and thought for large-area, rapid and accurate drawing and updating of the soil properties, and further promotes the development of the field of obtaining soil information based on the remote sensing technology.

Description

technical field [0001] The invention relates to a method for decomposing mixed pixels based on local similar pixels, and belongs to the technical field of remote sensing image processing. Background technique [0002] In recent years, precision agriculture and more and more ecological environment models are in urgent need of more accurate and updated soil attribute information, and the research on the rapid update of soil attribute information has attracted more and more attention. Remote sensing technology is favored by scholars at home and abroad for its advantages of large coverage area, fast update speed, rich spectral information, and economy, and is therefore widely used in the study of soil attribute mapping. However, in the application of remote sensing technology, some bottlenecks that affect its prediction accuracy and application potential have not been well resolved. [0003] The detection of ground objects by remote sensing is based on the unit of pixels, using...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 刘娅潘贤章王昌昆
Owner INST OF SOIL SCI CHINESE ACAD OF SCI
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