Automatic detecting method of remote sensing ground object target based on random geometric model

Abstract

The invention discloses an automatic detecting method of a remote sensing ground object target based on a random geometric model and relates to the technique of image information processing. The method comprises the steps of establishing an image representation set of a multiclass remote sensing ground object target, choosing geometric parts of the ground object target as a processing unit, using prior knowledge that the characteristic of various geometric parts is single, relativity of parts of the same kind is big and the like, building the random geometric model for a combining way of the target and the parts, adopting the MCMC method to estimate a maximum of nonparametric probability density, obtaining a model parameter, and guiding the automatic detecting and positioning of the target from up down. The method can overcome the influence of part information loss of the target on the detecting result and reduce the universality influence of between-class difference among the target on the detecting method. The method has a good robustness and utility to the automatic detecting of the target with a relatively complex structure and the target (such as a plane and a ship) of a relatively single geometric part characteristic in a remote sensing image.

Description

technical field [0001] The invention relates to the technical field of image information processing, in particular to a random geometric model-based automatic detection method for remote sensing objects and objects. Background technique [0002] According to the characteristics of remote sensing surface objects in terms of shape and appearance, it can be divided into a large category of targets with complex structures. The structure of this type of targets is relatively complex but the characteristics of geometric components are relatively simple, such as aircraft and ship targets. Due to the rich information contained in the remote sensing image and the complex scene, not only the detailed features of the target are enlarged, but also the interference is enhanced, which brings great difficulty to the detection and positioning of this type of target. [0003] Stochastic geometry (Stochastic geometry) theory is a modern random set theory developed on the basis of geometric pr...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for automatic detection of remote sensing ground object targets based on random geometric models to solve the problem of automatic detection of targets with relatively complex structures but relatively single geometric component characteristics in remote sensing images, such as aircrafts, ships, etc.

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