Wetland vegetation feature optimization and fusion method based on JM Relief F

A technology of wetland vegetation and fusion method, which is applied in the field of designing remote sensing image supervision and classification, can solve the problems of low classification accuracy and ignoring the selection of characteristic variables, and achieve the effect of improving classification accuracy, strong resolution ability, and improving classification limitations.
CN112949607APending Publication Date: 2021-06-11LIAONING TECHNICAL UNIVERSITY
2 Cites 2 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
LIAONING TECHNICAL UNIVERSITY
Publication Date
2021-06-11

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a wetland vegetation feature optimization and fusion method based on JM Relief F. The method comprises the following steps: collecting an unmanned aerial vehicle high-resolution remote sensing image in an experimental area, and meanwhile, obtaining field sample verification data; describing spectral information, texture features and spatial geometric features of various crops; calculating the expressions of different vegetations in spectral information, texture features and spatial geometric features, and counting the mean value and variance of each feature variable; establishing a JMRelief F multi-feature optimization formula, and determining the weights of the feature variables participating in classification and the separable degree of each feature variable by using the formula; and using a random forest classification algorithm to carry out fine identification on wetland vegetation in a research area, and carrying out precision verification through sample data collected in an experiment area. The method has the characteristics of wide identification range, high efficiency, low cost, short period, high precision and the like. The method can be used in the fields of protection and supervision of wetland vegetation, and can effectively improve the artificial recognition efficiency and precision.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present invention designs the field of supervised classification of remote sensing images, and specifically relates to a method for selecting and merging wetland vegetation features based on JM Relief F. Background technique

[0002] Wetland vegetation growth structure refers to the spatial distribution of different types of vegetation in the wetland and the growth area of ​​various types of vegetation. Vegetation growth structure reflects the health status of my country's wetlands, is the basis for analyzing wetland vegetation area and statistics of wetland vegetation types, and is also the basis for controlling and improving the wetland environment. The traditional method of obtaining wetland vegetation growth structure is to identify artificially on the spot, which cannot accurately provide the spatial distribution of various wetland vegetation, and the acquisition period is long and the efficiency is not high. With the continuous development o...

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