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

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 areas. The development of synthetic aperture radar is of great significance to national life, national defense tech...

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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

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