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SEVI regulation factor optimization method based on abrupt slope block information entropy

A technology for adjusting factors and optimization methods, applied in image data processing, complex mathematical operations, instruments, etc., can solve problems affecting the accurate calculation and application of SEVI, minimize data costs and time costs, have strong theoretical basis, and accurate results credible effect

Pending Publication Date: 2022-04-12
FUZHOU UNIVERSITY
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Problems solved by technology

[0002] The existing topographic shadow elimination vegetation index SEVI and the adjustment factor optimization method in its previous achievements have high requirements on remote sensing image classification, ground survey data, manual interpretation level and illumination parameters, which affect the accurate calculation of SEVI and its application in large area mountainous areas. The application and promotion of vegetation monitoring, etc. need to be solved

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  • SEVI regulation factor optimization method based on abrupt slope block information entropy
  • SEVI regulation factor optimization method based on abrupt slope block information entropy
  • SEVI regulation factor optimization method based on abrupt slope block information entropy

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0038] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention provides an SEVI regulation factor optimization method based on abrupt slope block information entropy. The method comprises the following steps: S1, downloading an optical remote sensing image and corresponding digital elevation model (DEM) data by taking a scene as a unit according to a required optimization target; s2, calculating a slope map by using a DEM, re-sampling the slope map into blocks with required spatial resolution, and selecting the blocks with the maximum gradient in a preset range as an abrupt slope block set; s3, calculating SEVI and information entropy H thereof block by block by using image reflectivity data according to the spatial range of each steep slope block; the method does not need remote sensing image classification and ground survey data, and is high in accuracy and easy to use.

Description

technical field [0001] The invention relates to the technical field of vegetation detection, in particular to a SEVI adjustment factor optimization method based on information entropy of steep slope blocks. Background technique [0002] The existing topographic shadow elimination vegetation index SEVI and the adjustment factor optimization method in its previous achievements have high requirements on remote sensing image classification, ground survey data, manual interpretation level and illumination parameters, which affect the accurate calculation of SEVI and its application in large area mountainous areas. The application promotion of vegetation monitoring needs to be solved. Contents of the invention [0003] The invention proposes a SEVI adjustment factor optimization method based on the information entropy of steep slope blocks, which does not require remote sensing image classification and ground survey data, has high accuracy and is easy to use. [0004] The prese...

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Application Information

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IPC IPC(8): G06V20/13G06T17/05G06F17/18
Inventor 江洪张雍
Owner FUZHOU UNIVERSITY
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