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Entropy-based remote sensing image data screening method

A remote sensing image and data screening technology, applied in still image data retrieval, still image data indexing, electronic digital data processing, etc., can solve problems such as difficult to meet efficient and accurate query requirements, easy to generate omissions, low query efficiency, etc., to achieve Reduced redundancy, automated, high-quality results

Active Publication Date: 2021-02-19
CENT SOUTH UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The query process of current data platform to obtain remote sensing image target data is still mostly realized through manual methods. The query efficiency is low, omissions are easy to occur, and it is greatly disturbed by human factors. It is difficult to meet the efficient and accurate query requirements.

Method used

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  • Entropy-based remote sensing image data screening method

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Embodiment Construction

[0036]The specific implementation manners of the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific implementations described here are only used to illustrate and explain the embodiments of the present invention, and are not used to limit the embodiments of the present invention.

[0037]The first thing to note is that both "image information entropy" and "Boltzmann entropy" can be used to reflect the richness of the information contained in the image, and "image information entropy" and "Boltzmann entropy" are both entropy The larger the value, the richer the information contained in the image.

[0038]In an example of the present invention, such asfigure 1 Shown is the flow chart of the entropy-based remote sensing image data screening method. The specific steps include:

[0039]S1 uses the principle of layering and blocking to construct the multi-level layered tile structure of the o...

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Abstract

The invention belongs to a remote sensing image processing method, and discloses an entropy-based remote sensing image data screening method, which comprises the following steps of: (1) constructing amulti-stage layered tile structure of an original remote sensing image by utilizing a related theory of layering and blocking; (2) calculating a neighborhood mapping entropy value of each image sub-block in each level of tile structure according to a neighborhood mapping entropy model of the remote sensing image information; (3) constructing an index of the neighborhood mapping entropy of each image sub-block in combination with the quadtree structure, and establishing a mapping relationship from the quadtree structure to a neighborhood mapping entropy index model of each image sub-block according to the hierarchical characteristics of the multi-level hierarchical tile structure; and (4) completing data screening according to a set data screening threshold condition so as to acquire required remote sensing image data. Automatic screening of original remote sensing image data is realized by utilizing the information entropy, and the data quality of the remote sensing image is improvedwhile the redundancy of the remote sensing data is reduced.

Description

Technical field[0001]The invention relates to a remote sensing image processing method, in particular to a remote sensing image data selection method based on entropy.Background technique[0002]In the process of remote sensing image processing, as the amount of remote sensing image data increases sharply, there is a serious imbalance between the ability to acquire remote sensing data and the existing remote sensing information processing technology, resulting in a low effective utilization rate of remote sensing data, and also causing some A degree of data disaster and other issues.[0003]Generally, a single original remote sensing image with different modalities in the same area acquired under different imaging conditions has obvious differences in the richness of the sub-region image information, and the imaging quality is also uneven. In addition, in the process of data processing, the original remote sensing image data also has the characteristics of large data volume and large sc...

Claims

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Application Information

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IPC IPC(8): G06F16/51G06F16/583
CPCG06F16/51G06F16/583
Inventor 周晓光方世民侯东阳
Owner CENT SOUTH UNIV
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