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

High resolution remote sensing image segmentation method combining phase and spectrum

A remote sensing image and phase technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as loss of contour information, weak response, and interference.

Active Publication Date: 2021-02-19
JIANGXI UNIV OF SCI & TECH
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods rely too much on the gradient information of the image, and the response to the low-contrast part of the image is weak, which easily leads to the loss of contour information.
On the other hand, building an edge detection model based on local homogeneity information can not only reduce the dependence on gradient information, but also be very sensitive to weak edges, but at the same time, the segmentation process is more significantly disturbed by noise and false edges.

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
  • High resolution remote sensing image segmentation method combining phase and spectrum
  • High resolution remote sensing image segmentation method combining phase and spectrum
  • High resolution remote sensing image segmentation method combining phase and spectrum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0067] Such as figure 1 As shown, the high-resolution remote sensing image segmentation method combining phase and spectrum mainly includes four steps: (1) According to the high consistency of phase information between image edge points, edge detection based on phase consistency information is realized ; (2) Calculate the local uniformity index J value to extract local uniformity information; (3) Combine phase consistency and local uniformity to build an edge response model, and traverse all possi...

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 a high-resolution remote sensing image segmentation method combining a phase and a spectrum. For the limitation existing in the aspects of weak edge detection and the like dueto the fact that gradient information is excessively depended during segmentation of a traditional method, advantage complementation is conducted by introducing phase information, and firstly, phase consistency information is extracted through Log Gabor filtering; on the basis, a local homogeneity index J-value in a traditional JSEG algorithm is adopted to optimize an edge detection result, and anobjective function optimization strategy based on inter-scale mutual information minimization is provided, so that a parameter adaptive optimal parameter combination and response model is constructed, and finally, the multi-scale region segmentation and region merging is carried out based on the model to obtain a final segmentation result.

Description

technical field [0001] The invention relates to a high-resolution remote sensing image segmentation method combining phase and spectrum, and belongs to the technical field of remote sensing image processing. Background technique [0002] With the continuous improvement of the spatial resolution of remote sensing images, the spectral differences within the same ground objects are also more significant, making it increasingly difficult for traditional pixel-level analysis methods to meet the needs of practical applications. Object-Based Image Analysis (OBIA) technology is the basic analysis unit of Geographical object, which provides a new idea for information extraction of high-resolution remote sensing images. Carrying out OBIA first requires effective image segmentation, which is also the basic premise and important guarantee for accurate feature extraction and target recognition in subsequent processing. [0003] Compared with medium- and low-resolution remote sensing ima...

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): G06T7/11G06T7/13G06T7/136
Inventor 刘辉王丽丽刘茜康俊峰张雪红
Owner JIANGXI UNIV OF SCI & TECH
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