Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for extracting pine information of single plant infected with pine wood nematode disease based on RGB image

A pine wood nematode disease and imaging technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as information extraction of pine trees infected with pine wood nematode disease, to curb ecological damage and property loss, and promote ecological The effect of civilization construction

Pending Publication Date: 2021-04-13
四川测绘地理信息局测绘技术服务中心
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of information extraction of pine trees infected with pine wood nematode from a single plant, and propose a method for extracting information from pine trees infected with pine wood nematode from a single plant based on RGB images

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
  • Method for extracting pine information of single plant infected with pine wood nematode disease based on RGB image
  • Method for extracting pine information of single plant infected with pine wood nematode disease based on RGB image
  • Method for extracting pine information of single plant infected with pine wood nematode disease based on RGB image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0053] Such as figure 1 As shown, the present invention provides a method for extracting pine wood information of a single plant infected with pine wood nematode based on RGB images, comprising the following steps:

[0054] S1: Construct the remote sensing index of pine wood nematode disease and pest based on R, G and B bands;

[0055] S2: According to the remote sensing index of pine wood nematode disease diseased wood, extract the pixel-level samples of pine wood nematode disease diseased wood;

[0056] S3: filter the pixel-level samples of pine wood nematode disease;

[0057] S4: Extract the individual tree information of the pixel-level samples of pine wood nematode-infected wood after filtering, and complete the extraction of information on a single plant of pine wood infected with pine wood nematode.

[0058] In the embodiment of the present inv...

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 a method for extracting pine wood information of a single plant infected with pine wood nematode disease based on an RGB image. The method comprises the following steps: S1, constructing pine wood nematode disease remote sensing indexes based on R, G and B wavebands; S2, extracting pine wood nematode disease epidemic wood pixel-level samples according to the pine wood nematode disease epidemic wood remote sensing indexes; S3, filtering the pine wood nematode disease epidemic wood pixel-level sample; and S4, extracting single tree information of the pine wood nematode disease epidemic wood pixel-level sample, and completing extraction of pine wood information of single plant infected with pine wood nematode disease. According to the method, only three most common visible light band images with least aerial remote sensing of the unmanned aerial vehicle are utilized, vegetation index extraction based on spectral characteristics is carried out, and single plant epidemic tree identification and information extraction are carried out by utilizing the spectral characteristics and high spatial resolution characteristics of the unmanned aerial vehicle.

Description

technical field [0001] The invention belongs to the technical field of pine wood nematode diseased pine wood, and in particular relates to a method for extracting information of a single plant infected with pine wood nematode disease pine wood based on RGB images. Background technique [0002] Remote sensing technology has the characteristics of long-distance, large-area and no direct contact, and has been widely used in the field of forest monitoring. At present, the detection technology of pine wilt disease (pine wood nematode) pine trees based on remote sensing technology usually uses multi-spectral and hyperspectral satellite images, combined with typical spectral features, to propose a suitable algorithm or manually set the spectral feature threshold technology to automatically identify the disease pine. However, such technology has the following deficiencies or limitations: (1) In cloudy and rainy areas in China, it is difficult to obtain high-resolution With high-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
IPC IPC(8): G06T7/90G06T7/00
CPCG06T7/90G06T7/0012G06T2207/10032G06T2207/20024
Inventor 廖露周兴霞黄青伦刘飞赵桢陈笑峰高文娟程多祥刘遐龄
Owner 四川测绘地理信息局测绘技术服务中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products