Method, equipment and device for segmenting remote sensing image using network model

A technology of remote sensing images and network models, applied in the field of remote sensing image processing, to achieve the effect of improving feature extraction capabilities, improving segmentation results, and improving segmentation accuracy

Active Publication Date: 2020-11-10
ZHEJIANG DAHUA TECH CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] This application provides methods, equipment and devices for segmenting remote sensing images using network models to solve the problem of improving the segmentation ability of remote sensing image objects

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, equipment and device for segmenting remote sensing image using network model
  • Method, equipment and device for segmenting remote sensing image using network model
  • Method, equipment and device for segmenting remote sensing image using network model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0024] see figure 1 , figure 1 It is a schematic flowchart of an embodiment of a method for segmenting remote sensing images using a network model, which is the object of this application.

[0025] An embodiment of the present application provides a method for segmenting remote sensing images using a network model, including the following steps:

[0026] S11: Extract RGB remote sensing image and false color composite image from remote sensing im...

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 application discloses a method, equipment and device for segmenting remote sensing images by using a network model. Among them, the method for segmenting remote sensing images using a network model, the method includes: extracting RGB remote sensing images and false color composite images from the remote sensing images; extracting the remote sensing image features of the RGB remote sensing images, and the false Composite image features of color composite images; fusing the remote sensing image features and the composite image features to obtain composite image features; performing multi-scale feature extraction on the composite image features to obtain multi-scale composite features; decoding the multi-scale composite features feature to obtain the segmentation result of the remote sensing image. Through the feature extraction and fusion of RGB remote sensing images and false color composite images, this method fully utilizes and utilizes the advantages of multi-channel remote sensing data to improve the segmentation accuracy of remote sensing images.

Description

technical field [0001] The application belongs to the technical field of remote sensing image processing, and in particular relates to a method, equipment and device for segmenting remote sensing images using network models. Background technique [0002] Remote sensing image processing has always been one of the important research directions in the field of satellite remote sensing. At present, with the emergence of a large number of remote sensing satellites, aerospace aircraft, and unmanned aerial vehicles, a large number of remote sensing images with different spatial resolutions have been produced, which has given rise to the demand for automated remote sensing image processing. In recent years, with the development of deep learning technology, new opportunities have been brought to the field of computer vision and remote sensing image processing. The remote sensing image object extraction method based on semantic segmentation technology has been continuously updated, es...

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 Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62G06N3/04
CPCG06V20/13G06V10/267G06V10/40G06V10/56G06N3/045G06F18/253
Inventor 任宇鹏卢维殷俊
Owner ZHEJIANG DAHUA TECH CO LTD
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