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Bright line detection method of video synthetic aperture radar moving target based on radon transform and machine learning

A technology of video synthesis and aperture radar, which is applied in the direction of radio wave measurement systems, instruments, measurement devices, etc., can solve the problems of moving target bright line detection, etc., achieve the effect of simplifying the process, simple and easy to implement, and improving detection performance

Active Publication Date: 2022-05-03
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] Purpose of the invention: The present invention provides a video synthetic aperture radar moving target bright line detection method based on Radon transform and machine learning, which solves the problem of moving target bright line detection mentioned in the above-mentioned background technology

Method used

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  • Bright line detection method of video synthetic aperture radar moving target based on radon transform and machine learning
  • Bright line detection method of video synthetic aperture radar moving target based on radon transform and machine learning
  • Bright line detection method of video synthetic aperture radar moving target based on radon transform and machine learning

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Embodiment Construction

[0032] The technical solution provided by the present invention will be further described below according to the drawings in the description.

[0033] Such as figure 1 A method for bright line detection of a video synthetic aperture radar moving target based on Radon transform and machine learning is shown, including the following steps:

[0034] Step S1, using a median filter method to preprocess the video SAR image to remove encouraging noise.

[0035] Step S2, slide the window, take out the sub-image, perform Radon transformation, and perform normalization in Radon space. The specific method of Radon transformation is as follows:

[0036]

[0037] Among them, D is the sub-image plane, f(x, y) is the gray value of the pixel in the image, δ is the Dirac function, ρ is the vertical distance from the origin to the line, θ is the distance between the vertical line of the line and the x-axis Angle, R f (ρ, θ) is the Radon space corresponding to the sub-image;

[0038] The...

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Abstract

The present invention provides a bright line detection method for video synthetic aperture radar moving target based on Radon transform and machine learning, including image preprocessing, Radon transform and standardization, judging and preserving window geometric information, merging overlapping windows, traversing all images, and intercepting original images. Image and train the GoogLeNet network model, and use the trained GoogLeNet network model to suppress false alarms. The invention uses Radon transform to perform preliminary detection, and then suppresses false alarms through the GoogLeNet network model, and has the characteristics of high detection accuracy and simple and easy implementation.

Description

technical field [0001] The invention relates to the technical field of radar monitoring, and mainly relates to a method for detecting a bright line of a video synthetic aperture radar moving target based on Radon transformation and machine learning. Background technique [0002] Synthetic Aperture Radar (SAR) is a remote sensing technology commonly used in modern military and civilian fields, which has the ability to image the target area all-weather and all-weather. As a new imaging mode, VideoSAR can continuously image the target scene at a certain frame rate, expand the information of the time dimension, continuously monitor the target area in a dynamic manner, and intuitively reflect the position and motion trend of the target and other parameter information. The imaging mode of VideoSAR was first proposed by Sandia Laboratories in the United States in 2003. It can continuously image the target area at a frame rate of more than 5 frames per second to obtain a movie-like ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/90G06T7/00
CPCG01S13/9021G06T7/0002G06T2207/10044G06T2207/20032G06T2207/20081G06T2207/20084G06T2207/20048
Inventor 张笑博朱岱寅
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS