Spacecraft classifying and identifying method based on generalized Hough transformation

A classification recognition and spacecraft technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of inability to express the time-frequency local properties of RCS sequences, poor target recognition performance, and low recognition rate

Inactive Publication Date: 2012-09-12
CHINA XIAN SATELLITE CONTROL CENT
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Problems solved by technology

Based on the radar measurement data of 7 targets and 10 observation arcs, Jin Sheng, Gao Meiguo and others used the nearest neighbor method to identify them using the above statistical features. The results showed that this method can only be used for preliminary classification of spacecraft with large differences in shape Recognition, and the recognition rate is low, roughly 70%
In the transformation feature, the traditional Fourier transform is a global transformation, which cannot express the time-frequency local properties of the RCS sequenc

Method used

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  • Spacecraft classifying and identifying method based on generalized Hough transformation
  • Spacecraft classifying and identifying method based on generalized Hough transformation
  • Spacecraft classifying and identifying method based on generalized Hough transformation

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Embodiment Construction

[0021] The following is a specific example to illustrate, taking the RCS sequence received by a certain radar detection circle as an example, to classify and identify the spacecraft to which it belongs, including the following steps:

[0022] 1. Convert RCS sequence to RCS sequence image

[0023] Extract the RCS sequence of a circle, draw a binary image with time as the horizontal axis and RCS amplitude as the vertical axis, and the obtained binary image is as follows figure 2 shown.

[0024] 2. Preliminary classification based on pixel compactness

[0025] Calculate the compactness of the image to be matched, the calculation formula of the compactness is:

[0026] J=A area / A MER (1)

[0027] In formula (1), A area is the area of ​​the target object, A MER Indicates the area of ​​the minimum bounding rectangle of the target.

[0028] According to the formula (1), the compactness of the image to be matched is 0.2119, and the compactness of the target RCS sequen...

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Abstract

The invention discloses a spacecraft classifying and identifying method based on generalized Hough transformation, which comprises the following steps of: drawing a radar cross-section (RCS) sequence image aiming at the RCS sequence of a certain radar observation arc section, calculating the compactness of the pixels of the RCS sequence image, carrying out initial classification, filtering the RCS sequence image, also generating a profile diagram and determining the image of a coarse positioning area by using generalized Hough transformation; extracting the skeleton characteristics of the image of the coarse positioning area and carrying out fine matching with the skeleton characteristic of the image of a template; and finally, carrying out matching verification based on the compactness degree of the pixels. According to the spacecraft classifying and identifying method based on the generalized Hough transformation, the aim of automatic target identification can be realized, and the identification rate is also enhanced.

Description

technical field [0001] The invention belongs to the field of aerospace measurement and control, and relates to a method for classifying and identifying spacecraft using RCS sequences. Background technique [0002] At present, most of the active radars in our country adopt the narrow-band radar system, so exploring and researching the space target recognition problem under the narrow-band radar system has important practical significance and extensive practical value. Target RCS contains rich target information and is the main data of target radar characteristics that narrowband radar can obtain. Therefore, target classification and recognition using RCS measurement data is an important aspect of space target radar recognition. Since the radar has different observation angles for the spacecraft in different observation arcs, and the RCS is sensitive to the change of the attitude angle, the statistical characteristics and transformation characteristics of the RCS sequence of e...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 牛威苏威寇鹏
Owner CHINA XIAN SATELLITE CONTROL CENT
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