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

Water precise extraction method through polarized SAR image segmentation based on level set

A technology of level set segmentation and accurate extraction, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of SAR image failure, different categories, complex topology, etc., to improve the effectiveness and accuracy.

Active Publication Date: 2017-04-26
WUHAN UNIV
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional threshold segmentation algorithms often fail due to noise development, complex topology, and similar gray values ​​but different categories of SAR 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
  • Water precise extraction method through polarized SAR image segmentation based on level set
  • Water precise extraction method through polarized SAR image segmentation based on level set
  • Water precise extraction method through polarized SAR image segmentation based on level set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The specific implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0057] The detailed steps of the present invention are as follows:

[0058] Step 1, preprocessing of polarimetric SAR images.

[0059] This step further includes:

[0060] Step 1.1: Decompose the polarization target on the polarimetric SAR image to extract the covariance matrix C3; perform Cloude decomposition (incoherent decomposition) based on the eigenvalue and eigenvector of the covariance matrix C3 to obtain the scattering entropy, which is marked as H.

[0061] In the present invention, the scattering entropy is used as the significant scattering feature of the weak scattering features, and the composition factors of water bodies and other weak scattering features constraint items are constructed.

[0062] Step 1.2: Use the covariance matrix C3 to perform enhanced Lee filtering processing on the polarimetric SAR image. In ...

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 water precise extraction method through polarized SAR image segmentation based on a level set, and the method comprises the steps: S1, carrying out the preprocessing of an SAR image; S2, extracting a weak scattering homogeneous region from a polarized SAR image based on the polarization total power of the polarized SAR image, and completing the preliminary extraction of water; S3, precisely extracting water from the weak scattering homogeneous region based on the scattering entropy and a covariance matrix of the polarized SAR image. The method gives full consideration to the similarity of weak scattering ground objects in the polarized SAR image, employs a multi-scale level set segmentation strategy, constructs different SAR models according to different segmentation contents, defines energy functions at different layers, and improves the water extraction timeliness and precision through a stepwise refinement method.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a method for accurately extracting water bodies based on level set segmentation polarization SAR images. Background technique [0002] SAR sensors use microwave bands for active remote sensing, and have the ability to penetrate clouds and fog and work all day long, so that SAR images may become the only available data in disaster events, and water bodies and building areas have obvious features in SAR images. , so it can effectively monitor floods and earthquake disasters. However, because SAR images are coherently imaged based on the scattering properties of surface objects, it is impossible to finely distinguish ground objects with similar scattering properties. For example, water bodies, bare soil, roads, shadows, etc. belong to weak scattering ground objects, and the scattering types are all odd scattering, which appear as black areas with small scatt...

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): G06T7/11
CPCG06T2207/10032
Inventor 眭海刚安凯强徐川刘俊怡
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