Unlock instant, AI-driven research and patent intelligence for your innovation.

A two-dimensional dual-threshold SAR image segmentation method based on quantum particle swarm optimization

A two-dimensional double-threshold, quantum particle swarm technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of high segmentation time complexity and poor segmentation effect

Active Publication Date: 2016-09-14
XIDIAN UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a two-dimensional double-threshold SAR image segmentation method based on quantum particle swarm optimization, which overcomes the disadvantages of poor segmentation effect and high segmentation time complexity of existing classical threshold image segmentation technology in SAR image segmentation

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 two-dimensional dual-threshold SAR image segmentation method based on quantum particle swarm optimization
  • A two-dimensional dual-threshold SAR image segmentation method based on quantum particle swarm optimization
  • A two-dimensional dual-threshold SAR image segmentation method based on quantum particle swarm optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0024] Step 1, initialize the particle swarm population size M and the maximum number of iterations T max , using a random function to generate the initial position of each particle (x i1 ,x i2 ,...,x is ).

[0025] Step 2, calculate and obtain σ according to the following formula B As a fitness function, the optimal position pbest of the current particle is obtained according to the maximum variance within the class id and the global optimal value gbest in this iteration d .

[0026] t r ( σ B ) = ω 1 ...

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 two-dimensional dual-threshold SAR image segmentation method based on quantum particle swarm optimization. The method comprises the realization steps: (1) initializing the particle swarm population size M and the maximum iterations Tmax and generating the initial position of each particle randomly; (2) calculating a fitness function, and obtaining the optimal position of a current particle and an overall optimal position of iteration of this time according to the maximum in-cluster variance value; (3) calculating Pid and mbestd; (4) constructing a random number set; (5) setting a definition value, judging the relation between the random number set and the definition value, and upgrading the position of each particle according to a formula; (6) checking whether the end condition is achieved, achieving the end if yes, or else executing the steps from two to five; (7) segmenting an SAR image according to a pair of searched optimal thresholds stored in two dimensions of the particle pointed by the overall optimal position. Compared with a classical segmentation method, the segmentation method is good in effect of dividing the SAR image, and relatively small in time complexity.

Description

technical field [0001] The invention belongs to the technical field of image data processing, in particular to a two-dimensional double-threshold SAR image segmentation method based on quantum particle swarm optimization. Background technique [0002] The concept of radar was formed in the early 20th century. It is an electronic device that uses electromagnetic waves to detect targets. It developed rapidly during World War II. Synthetic Aperture Radar (SAR) is a coherent imaging radar operating in the microwave band and an active microwave remote sensing sensor. Because of its all-weather, all-time, long-distance and wide observation zone, and the ability to easily distinguish moving targets from fixed backgrounds, it is widely used in geological exploration, urban planning, military exploration, marine monitoring, vegetation growth assessment, etc. Numerous fields. The development of synthetic aperture radar is of great significance to national life, national defense tec...

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): G06T7/00G06N3/00
Inventor 焦李成刘芳刘佳颖马文萍马晶晶王爽侯彪李阳阳朱虎明
Owner XIDIAN UNIV