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Geometric size estimation of SAR target image based on OMP

A technology of geometric size and target image, applied in the field of communication, can solve the problems of not being universally applicable, unable to eliminate the influence of noise, not suitable for stationary targets, etc., and achieve the effect of strong noise robustness

Active Publication Date: 2019-02-15
XIDIAN UNIV +1
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Problems solved by technology

However, the disadvantage of this method is that it needs to know the motion model of the target, which is not suitable for stationary targets, so this method cannot be generally applied
The disadvantage of this method is that since the method directly separates the target from the background according to the set threshold when performing target screening, it cannot eliminate the influence of noise on the estimation of the target geometric size, and it is not robust to noise.

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  • Geometric size estimation of SAR target image based on OMP
  • Geometric size estimation of SAR target image based on OMP
  • Geometric size estimation of SAR target image based on OMP

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] Refer to attached figure 1 , further describe the implementation steps of the present invention.

[0040] Step 1, select a slice matrix in a synthetic aperture radar SAR image that only contains radar observation targets.

[0041] In step 2, the orthogonal matching pursuit algorithm OMP is used to generate the atomic matrix of the target and the magnitude vector of the scattering center.

[0042] The specific steps of the Orthogonal Matching Pursuit Algorithm OMP are as follows:

[0043] In the first step, each column in the selected slice matrix is ​​concatenated end-to-end in order to form a slice column vector.

[0044] The second step is to use the orthogonal Fourier basis formula to calculate the value of each element in the super-resolution basis matrix.

[0045] The orthogonal Fourier basis formula is as follows:

[0046]

[0047] Among them, d re...

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Abstract

The invention discloses a synthetic aperture radar (SAR) target image geometric size estimation method based on orthogonal matching tracking algorithm OMP. (2) obtaining the atomic matrix and the scattering center amplitude vector of the target; (3) obtaining the reconstructed target image; (4) projecting the reconstructed target image onto the coordinate system to generate the target region; (5)obtaining a coordinate vector; (6) rotating the coordinate vector; (7) obtaining the smallest circumscribed rectangle; (8) The size value of the smallest circumscribed rectangle is used as the estimate value of the target geometric size. The invention is universally applicable to stationary radar observation targets, and at the same time, the invention eliminates the negative influence caused by noise, has good noise robustness in detail, and improves the estimation accuracy of synthetic aperture radar SAR target geometric size.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a synthetic aperture radar SAR (Synthetic Aperture Radar) target image geometric size estimation method based on an orthogonal matching pursuit algorithm OMP in the technical field of radar target feature extraction. The invention can be used to extract the outer contour of a stationary target in a single image received by radar, and use the extracted contour to estimate the geometric size of the stationary target. Background technique [0002] The geometric size feature of the target is an intuitive physical feature of the radar target. For high-resolution radar image target slices, estimating the geometric size of stationary targets has important application significance in the process of SAR image target identification and classification. For the size estimation of high-resolution radar image targets, the actual high-resolution radar image data are generally affect...

Claims

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Application Information

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IPC IPC(8): G06T7/60G06T5/00G06T3/60
CPCG06T3/60G06T7/60G06T2207/20068G06T2207/20056G06T2207/10044G06T5/70
Inventor 杜兰崔曼杨栋文王家东
Owner XIDIAN UNIV
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