Unmanned aerial vehicle slope vegetation classification method based on equal-height air route

A classification method and technology of machine slope, which are applied in computer parts, instruments, characters and pattern recognition, etc., can solve the problem of certain difficulty in plant classification, and achieve the effect of improving plant classification accuracy, clarity and texture.

Active Publication Date: 2019-10-01
GUIZHOU TRANSPORTATION PLANNING SURVEY & DESIGN ACADEME
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the complex terrain of the slope affects the flight mode of the UAV and the data quality and information mining. The plant layer of the slope is rich and the height is matched, which makes the classification of plants difficult. At present, there is no UAV to investigate plant species under the condition of the slope. Research reports, there is no ready-made research method for reference, so the research of the present invention will be a kind of innovative attempt

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Unmanned aerial vehicle slope vegetation classification method based on equal-height air route
  • Unmanned aerial vehicle slope vegetation classification method based on equal-height air route
  • Unmanned aerial vehicle slope vegetation classification method based on equal-height air route

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0035] The method of the present invention is respectively implemented in artificial slopes and natural mountains in the Wenchuan area, and the slope height is 75m, the slope length is 150m, and the slope ratio is 1 / 2.

[0036] Such as Figure 1-5 As shown, a method for UAV slope vegetation classification based on contour routes includes the following steps:

[0037] (1) Make the UAV fly along several contour routes in a serpentine manner and hover over the sampling points on the contour routes to collect images. The distances between several contour routes and the slope ground are equal and the slope direction is uniform The intervals are arranged side by side, and ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an unmanned aerial vehicle slope vegetation classification method based on an equal-height air route. The method comprises the following steps that (1) an unmanned aerial vehicle flies along a plurality of equal-height air routes in a snakelike mode and hovers on sampling points on the equal-height air routes to collect images, the distances between the equal-height air routes and the ground of a side slope are equal, the equal-height air routes are evenly arranged side by side in the inclination direction of the side slope at intervals, and the air routes are evenly provided with the sampling points; (2) the image is synthesized into high-density point cloud data by using Pix4DMapper, and an orthographic image is obtained from the high-density point cloud data; (3)a sample manager is constructed, which comprises the steps of firstly, adding the artificially distinguished plant species into ArcGIS to generate a scheme management category; then, according to thescheme management category, circling a to-be-classified object category in the near-earth orthographic image to obtain a sample library; (4) an ecd file generated by the sample training manager basedon the scheme management category and the sample library is combined with a classification method to act on the orthoimage, and a classification result of the slope plant image is obtained; the method improves the classification precision.

Description

technical field [0001] The invention relates to a method for classifying slope vegetation of a UAV based on a contour route. The method for classifying vegetation of a UAV slope is based on the flight of the UAV on a slope and obtaining clear images. Background technique [0002] Slope ecological engineering includes six main links: planning and design, project construction, project supervision, project acceptance, project management and engineering research, among which the development of the four links of project supervision, project acceptance, project management and project research needs to focus Spatial distribution, whether it is the process and quality in project supervision, or the stability assessment in project acceptance, to the maintenance, replanting, thinning and growth management in project management, or the spatial pattern of groups in engineering research, Biodiversity succession, ecological evaluation, etc., all require dynamic and high-frequency plant sp...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/188G06F18/24
Inventor 韩超杨寅郭科
Owner GUIZHOU TRANSPORTATION PLANNING SURVEY & DESIGN ACADEME
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products