Vegetation classification method capable of automatically selecting features in power transmission line corridor area

A technology of power transmission lines and classification methods, applied in the directions of instruments, calculations, character and pattern recognition, etc., can solve problems such as economic losses, and achieve the effect of improving calculation efficiency and classification accuracy

Inactive Publication Date: 2016-07-20
WUHAN UNIV
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Problems solved by technology

Especially in recent years, frequent line tripping accidents caused by forest fi...

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  • Vegetation classification method capable of automatically selecting features in power transmission line corridor area
  • Vegetation classification method capable of automatically selecting features in power transmission line corridor area
  • Vegetation classification method capable of automatically selecting features in power transmission line corridor area

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Embodiment Construction

[0041] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. The technical solution of the present invention can be automatically operated by computer software.

[0042] Step 1, preprocessing of remote sensing images.

[0043] The preprocessing of remote sensing images includes preprocessing of remote sensing image training samples and remote sensing image test data.

[0044] The preprocessing of remote sensing image training samples includes extracting scene units and defining scene categories manually. First, the large-scale remote sensing image training sample is divided into several image sub-blocks of the same size, that is, scene units; the scene category of each scene unit is defined by artificial visual method and the category label is marked, and the category label of the label is marked as the defined category label. The scene unit divided by remote sensing image training samples is divided in...

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Abstract

The invention discloses a vegetation classification method capable of automatically selecting features in power transmission line corridor area. The method includes the following steps: a first step of extracting features of training samples and cross validation samples, a plurality of types of features of all training samples constituting a feature set; a second step of, based on the training samples and cross validation samples, adopting a cross validation method to conduct optimization selection on features so as to acquire optimized features; a third step of adopting the optimized features to conduct vegetation classification on remote sensing image test data. According to the invention, the method does not require a large amount of iterative computation in feature selection phase, and a combination of features obtained after optimization selection, have robustness. The combination of features serves to classify vegetation in remote sensing image power transmission line corridor area, and can explicitly increase algorithm computation efficiency and classification precision.

Description

technical field [0001] The invention belongs to the technical field of intelligent analysis of remote sensing images, and in particular relates to a vegetation classification method for automatic feature selection of transmission line corridor areas. Background technique [0002] With the rapid growth of the national economy and the rapid development of power grid construction, the safe and stable operation of transmission lines is an important condition for ensuring people's lives. my country's transmission lines have long transmission distances, wide areas, and complex terrain and geological conditions along the way. Vegetation is the main body of the terrestrial ecosystem, and as the main component of the green space system, it plays an irreplaceable role in the entire ecosystem. For high-voltage transmission lines in power systems, the direction and distribution of forest vegetation have a major impact on the design and operation of transmission lines. For example, tra...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2411
Inventor 徐侃陈志国张校志李陶
Owner WUHAN UNIV
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