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
CN109871774AActive Publication Date: 2019-06-11INST OF SOIL SCI CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
INST OF SOIL SCI CHINESE ACAD OF SCI
Publication Date
2019-06-11

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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.
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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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