Automatic extraction method of moraine covered glacier

An extraction method and glacier technology, which is applied in the field of optical remote sensing technology to study modern glaciology, can solve the problems of low accuracy of extraction results, low degree of automation, difficult surface moraine glacier extraction, etc., to improve accuracy and improve accuracy , Extract the effect of high accuracy

Active Publication Date: 2020-12-04
CHANGAN UNIV
View PDF10 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In view of the deficiencies in the prior art, the object of the present invention is to provide an automatic extraction method for moraine-covered glaciers, which solves the problems in the prior art that the accuracy of the extraction results is not high, the degree of automation is not high, and the threshold is difficult to determine It is difficult to apply to large-area surface moraine glacier extraction problems

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
  • Automatic extraction method of moraine covered glacier
  • Automatic extraction method of moraine covered glacier
  • Automatic extraction method of moraine covered glacier

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] In this example, using the landsat-8 image Sentinel-2 and ALOS-World-3ddsm data, the above-mentioned method is used to extract the surface moraine glaciers in the Shishapangma Peak and the Cuolangma Glacier Glacier Lake Group in the middle of the Himalayas. Download the October 2016 and October 2018 images of the region from the usgs website. However, due to cloud cover and image inventory problems in the 2016 images of this area, the Sentinel-2 images of December 2016 and October 2018 were used to obtain the surface moraine glacier displacement from 2016 to 2018. The time difference of two years is mainly because surface moraine glaciers flow more slowly than net glaciers, and the two-year flow rate can highlight the flow characteristics and help classification. But pay special attention, if the time span is too long, there will be loss of correlation.

[0070] In order to reflect the advantages of this method, the decision tree threshold classification is carried out...

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 automatic extraction method of a moraine coverage type glacier, which comprises the following steps: 1, preprocessing an optical image of a research area to obtain a multispectral waveband and texture features of the research area; 2, selecting proper topographic data to perform topographic analysis to obtain a slope, a plane curvature and a profile curvature corresponding to the research area; 3, calculating flow displacement characteristics of the research area by using an optical offset method; and 4, performing classification by adopting a random forest algorithm, and obtaining a moraine glacier contour. According to the method, the characteristic that the moraine glacier has fluidity is fully utilized, the optical offset technology is used for solving the flow displacement, then the random forest algorithm is combined for extracting the moraine glacier, the automation degree is high, and the extraction accuracy is high; the random forest algorithm solvesthe problem that the characteristic threshold, the characteristic use sequence and the combination are difficult to determine, and compared with a decision tree, the classification accuracy is improved; the flow velocity is increased, so that the accuracy of moraine glacier boundary extraction is greatly improved.

Description

technical field [0001] The invention belongs to the field of studying modern glaciology by using optical remote sensing technology, and relates to an automatic extraction method of moraine-covered glaciers. Background technique [0002] Changes in glaciers are seen as a sensitive indicator of climate change, and the land's most important freshwater resource. In recent years, under the background of global warming, glaciers in the Himalayas, known as the "Asian water tower", are an important part of the global mountain glaciers, which has attracted continuous attention from the glaciology community. For a long time, optical remote sensing technology has played an important role in studying the changes of glaciers on a large scale. Among them, moraine-covered glaciers are an important part of mountain glaciers, and their automatic extraction is of great significance to the study of glacier remote sensing changes. However, due to the spectral similarity between moraine-covere...

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
CPCG06V20/194G06V20/13G06F18/24
Inventor 杨成生李海惠文华张勤
Owner CHANGAN UNIV
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