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

A Method of Constructing Remote Sensing Image Semantics Based on Gaussian Scale Space

A Gaussian scale, remote sensing image technology, used in image analysis, image data processing, instruments, etc., can solve problems such as methods that are difficult to extract, and achieve the effect of convenient implementation.

Active Publication Date: 2015-09-16
WUHAN UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, these unique characteristics of remote sensing images make it difficult for this field to directly use methods for extracting semantic information from natural digital 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
  • A Method of Constructing Remote Sensing Image Semantics Based on Gaussian Scale Space
  • A Method of Constructing Remote Sensing Image Semantics Based on Gaussian Scale Space
  • A Method of Constructing Remote Sensing Image Semantics Based on Gaussian Scale Space

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0048] A method for constructing remote sensing image semantics based on Gaussian scale space proposed by the present invention can be implemented automatically by using computer software technology. In order to set forth the specific implementation of the present invention in more detail, further description is carried out below based on accompanying drawing, embodiment flow process is as follows:

[0049] Step 1. Based on the content of the remote sensing image, the Gaussian scale space of the remote sensing image is established through the Gaussian function.

[0050] The embodiment establishes the Gaussian function g(x, y, n, ε) of the remote sensing image scale space as follows:

[0051] g ( x , ...

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 a Gaussian scale space-based method for constructing semantics of a remote-sensing image. The method comprises the following steps: firstly constructing Gaussian scale space of the remote-sensing image; then respectively constructing two-dimensional Gaussian scale tree-form hierarchical structures in different space regions of the remote-sensing image under the same scale and different scales in the same space region of the same remote-sensing image; and respectively constructing nonstructural semanteme and structural semanteme based on the two different Gaussian scale tree-form hierarchical structures, and finishing construction of the semantics of remote-sensing image based on the Gaussian scale space.

Description

technical field [0001] The invention relates to the fields of remote sensing image processing and remote sensing image recognition, in particular to a method for constructing remote sensing image semantics based on a Gaussian scale space. Background technique [0002] Different from natural digital images, remote sensing images themselves have many unique features, including: rich spectral information (multispectral images, hyperspectral images), obvious differences in reflectance of ground objects based on different spectra, angle effects of image shooting, atmospheric Radiation effects, constantly changing sun reflection angles, and more. Therefore, these unique characteristics of remote sensing images make it difficult for this field to directly use methods for extracting semantic information from natural digital images. [0003] The Gaussian scale space can effectively fit human visual cognition. As the scale increases, remote sensing images gradually blur until the spa...

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): G06T7/00G06K9/46
Inventor 邵振锋周熙然
Owner WUHAN UNIV
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