Spectrum attribute information and space information based reservoir water body classification method and device

A technology of attribute information and spatial information, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as difficult to unify patterns, achieve the effect of improving accuracy and information quality

Inactive Publication Date: 2017-05-10
HOHAI UNIV +1
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Problems solved by technology

Therefore, the factors affecting reservoir water imaging are not the same, which makes it difficult to have a unified model for different reservoir water bodies.

Method used

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  • Spectrum attribute information and space information based reservoir water body classification method and device
  • Spectrum attribute information and space information based reservoir water body classification method and device
  • Spectrum attribute information and space information based reservoir water body classification method and device

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Embodiment Construction

[0042] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0043] For the classification of complex reservoir water bodies, the idea of ​​the present invention is to introduce spectral clustering into the classification of reservoir water bodies, and construct a spectral weight matrix by making full use of the spectral attribute information and spatial information of remote sensing images of reservoir water bodies. As the similarity matrix of the spectral clustering algorithm, the matrix can better improve the information quality of spatial analysis and spatial data mining, thereby effectively improving the accuracy of reservoir water classification.

[0044] For the convenience of the public, a brief introduction to the content of spectral clustering is given first.

[0045] The spectral clustering algorithm is a new clustering method based on the spectral graph theory. Compared with the traditional clustering...

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Abstract

The invention discloses a spectrum attribute information and space information based reservoir water body classification method. According to the method, spectral clustering is introduced to reservoir water body classification for the first time, a spectrum weight matrix is built by fully utilizing remote-sensing imaging of the spectrum attribute information and space information of the reservoir water body, and the built spectrum weight matrix is regarded as a similarity matrix of a spectral clustering matrix. Therefore, information quality of spatial analysis and spatial data mining can be improved in a better manner, and the accuracy of reservoir water body classification is accordingly and efficiently improved. The invention also discloses a spectrum attribute information and space information based reservoir water body classification device.

Description

technical field [0001] The invention relates to a method for classifying reservoir water bodies, in particular to a method and device for classifying reservoir water bodies based on spectral attribute information and spatial information. Background technique [0002] Remote sensing has the characteristics of wide monitoring area, short data acquisition cycle, and rich spectral information of ground objects. Using remote sensing images can quickly and real-time analyze the dynamic distribution of water resources in time and space. Therefore, remote sensing technology has been widely used in many aspects such as monitoring of water quality dynamic changes, disaster assessment, water resource management and water environment investigation, and is of great significance to water conservancy informatization. [0003] At present, there are many studies on the temporal and spatial changes of water bodies at home and abroad, mainly including the following two aspects. On the one han...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/24
Inventor 蔡阳黄乐平李士进王伶俐陈德清冯钧
Owner HOHAI UNIV
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