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

Remote sensing image classification device and method

A remote sensing image and classification device technology, applied in the field of remote sensing, can solve the problems of inaccurate remote sensing image classification methods, achieve the effects of low calculation cost, accurate classification results, and avoid misjudgment

Active Publication Date: 2017-12-19
北京佳格天地科技有限公司
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a remote sensing image classification device and method to solve the problem that the current remote sensing image classification method is not accurate enough to achieve the purpose of more accurate remote sensing image classification

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
  • Remote sensing image classification device and method
  • Remote sensing image classification device and method
  • Remote sensing image classification device and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The solutions of the present invention are described below in conjunction with the accompanying drawings, in which the present invention is shown by way of example and not by way of limitation.

[0042] like figure 1 As shown, the remote sensing image classification device of the present invention includes an acquisition unit 101 and a comparison and judgment unit 102 . The acquisition unit 101 is connected with the comparison and judgment unit 102, and is used to acquire the first spectral curve image of at least one classification in the remote sensing image, and is also used to acquire the second spectral curve image of each pixel in the remote sensing image to be classified. The comparison and judgment unit 102 is used to compare the second spectral curve image with the first spectral curve image, and if the second spectral curve image is the same as the first spectral curve image, then judge the category of the pixel in the remote sensing image to be classified 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 relates to the technical field of remote sensing. The invention provides a remote sensing image classification device and method so as to solve the problem that an existing remote sensing image classification method is not accurate enough, and to realize more accurate remote sensing image classification. The remote sensing image classification device comprises an obtaining unit and a comparison and judgment unit. The obtaining unit is used for obtaining a first spectral curve image of at least one classification in a remote sensing image and also used for obtaining a second spectral curve image of each pixel in a remote sensing image to be classified; and the comparison and judgment unit is used for carrying out comparison on the second spectral curve image and the first spectral curve image, if the second spectral curve image and the first spectral curve image are same, judging that the category of each pixel in the remote sensing image to be classified is same with that of the classification, and if the second spectral curve image and the first spectral curve image are different, judging that the category of each pixel in the remote sensing image to be classified does not belong to the category of the classification.

Description

technical field [0001] The invention relates to the field of remote sensing, in particular to a remote sensing image classification device and method. Background technique [0002] Land use and land cover (LULC) classification is a basic research field in remote sensing research. Land use refers to the activities that humans use land on the land, such as building houses on the land; land cover refers to the substances that cover the land, such as natural vegetation, water bodies or rocks. Remote sensing image classification refers to obtaining the category of land in a certain area in remote sensing images, such as houses, crops, grassland or water bodies. The role of remote sensing image classification is, for example, to predict the yield of crops. Specifically, if it is judged that a certain area in the remote sensing image is a corn planting area, then the corn planting area can be obtained according to the area of ​​the area, and then according to the predicted Estima...

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
CPCG06V20/13G06F18/24
Inventor 顾竹
Owner 北京佳格天地科技有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com