Earth atmosphere infrared background inhibition method based on Markov autoregression model

An autoregressive model and infrared background technology, applied in the field of earth atmosphere infrared background suppression, can solve problems such as target submersion and target detection impact

Inactive Publication Date: 2016-07-27
BEIJING INST OF ENVIRONMENTAL FEATURES
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AI Technical Summary

Problems solved by technology

The clutter interference caused by the reflection of atmospheric clouds can easily cause the target to be submerged in it, which has a great impact on target detection

Method used

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  • Earth atmosphere infrared background inhibition method based on Markov autoregression model
  • Earth atmosphere infrared background inhibition method based on Markov autoregression model
  • Earth atmosphere infrared background inhibition method based on Markov autoregression model

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Embodiment Construction

[0045] Exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The description of the exemplary embodiments is for the purpose of illustration only, and in no way limits the invention and its application or usage.

[0046] In the time domain, the background clutter appears as a slow Markov process; in the space domain, the background clutter appears as a two-dimensional AR model (autoregressive model, autoregressive model). Based on this, the present invention converts the time-space domain fusion estimation of background clutter into two independent processing processes of time domain and space domain.

[0047] The detection image of the composition of the infrared target and the background is expressed as follows:

[0048]

[0049] Among them, Z t (i, j) is the gray value of the pixel (i, j) at time t in the field of view image, N t is the number of targets at time t, I t (n)T(i,j,x n ,y n ) is th...

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Abstract

The invention discloses an earth atmosphere infrared background inhibition method based on a Markov autoregression model.The method comprises the steps of conducting spatially adaptive filtering on current image data to obtain the spatial restrain residual error; extracting background clutter disturbance points obtained after spatial filtering, and determining spatial model coefficients with the background clutter disturbance points as a sampling point set; determining time-domain model parameters based on the minimum mean square error criterion; acquiring an output result of spatial filtering by means of a time-space-domain unified model according to the spatial restrain residual error, the spatial model coefficients and the time-domain model parameters, and conducting self-adaption background estimation and differential treatment to obtain a filtering result.By the adoption of the method, minimization of the restrain residual error can be achieved, the capacity of restraining clutter background including cloud layers in space-based infrared detection is improved, clutter disturbance is reduced, and the contrast ratio and signal to noise ratio of a target are increased.

Description

technical field [0001] The invention relates to the technical field of infrared and image processing, in particular to an earth atmosphere infrared background suppression method based on a Markov autoregressive model. Background technique [0002] The technical background related to the present invention will be described below, but these descriptions do not necessarily constitute the prior art of the present invention. [0003] Due to the advantages of long range and good stealth performance, passive detection of space-based infrared targets has been widely used in the field of national defense and military affairs, such as the Space-Based Infrared System (SBIRS) and Space-Based Tracking and Surveillance System (STSS) in the United States. The sensor realizes the early detection of the flight target in the boost phase and the continuous tracking of the target in the middle phase. When detecting on a geosynchronous orbit geostationary platform, due to the very long detectio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06T5/10G06T5/00
CPCG06T5/002G06T5/10G06T2207/20032G06V20/13G06V10/443
Inventor 董晓刚
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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