Radar plot clotting method based on contour tracking

A technology of contour tracking and radar spot tracking, which is applied in the field of radar, can solve the problems of not being able to meet the real-time requirements, the real-time performance of radar, and reduce the amount of calculation, so as to save the amount of calculation, meet the accuracy requirements, and reduce the amount of data.

Inactive Publication Date: 2018-07-06
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows for faster and less expensive calculations compared to previous methods like radars. By utilizing these techniques, we reduce computational load while still maintaining good quality images captured through different angles. Additionally, our algorithms are able to track targets accurately even at very short distances without recalculating them again. Overall, they improve overall functionality and speed up operations over existing systems.

Problems solved by technology

This patented technical problem addressed in this patents relates to improves the performance of detecting small objects such as minute particles or tiny areas from complex background scenes like satellite imagery. Current techniques involve analyzing each frame separately but they often take too much time due to their computational complexity. Therefore, new solutions aimed towards faster analysis speed without compromising accuracy would provide significant benefits over current approaches.

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  • Radar plot clotting method based on contour tracking
  • Radar plot clotting method based on contour tracking
  • Radar plot clotting method based on contour tracking

Examples

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Embodiment 1

[0041] Using the traditional spot agglomeration method, region growing method, planetary center of mass algorithm, SDDC algorithm, and target extraction algorithm based on contour tracking to process high-precision sea monitoring radar video data. The point-trace agglomeration algorithms described above all have the characteristics of traversing all video data once or more times. In the case of high-precision radar, traversing the entire video data once or more times requires a huge amount of calculation and takes a long time, which cannot meet the needs of modern radar systems. Real-time requirements. For this reason the present invention proposes a kind of method based on the radar trace aggregation of outline tracking, see figure 1 , figure 1 It is a schematic diagram of the target illuminated by sea radar. When the radar beam sweeps over the target, if the antenna azimuth and starting azimuth to end azimuth The starting orientation satisfies , the amplitude of the...

Embodiment 2

[0064] The radar spot cohesion method based on contour tracking is the same as embodiment 1, and the span of radar cross-azimuth sampling in step (2) is determined as follows:

[0065] 2.1 Determine the sampling span: through the input radar system parameter information, calculate the maximum span of the target azimuth, that is, the minimum value of A, that is, the maximum span of radar cross-azimuth sampling. Generally, the sampling span should be smaller than the minimum value of A. By The calculated azimuth minimum value sets the radar span azimuth. In actual situations, in order to improve the system speed and reduce the delay, it can be realized by increasing the value of the parameter and increasing the sampling span value.

[0066] 2.2 After the sampling span is determined, cross-azimuth sampling is performed from the input radar video data, and a scan line is selected for each azimuth span for detection. The size of the azimuth span is calculated in the first step. Af...

Embodiment 3

[0069] The radar spot cohesion method based on contour tracking is the same as embodiment 1-2, and carries out contour tracking with the detected position data of sampling in step (4), and concrete steps are as follows:

[0070] 4.1 From the current azimuth data unit scanning line traverses the sampled azimuth data units one by one from bottom to top until a data unit with a detection bit flag is found.

[0071] 4.2 When a data unit with a detection bit flag is found, use the data unit with a detection bit as the starting unit for contour tracking, and find the next contour unit in sequence according to the contour tracking criterion.

[0072] Contour tracking rule: take the current unit as the benchmark, traverse all the data units adjacent to the reference unit from a certain direction adjacent to the unit, and if a unit with a detection bit is found, save the data and use the found data unit as the benchmark , continue to traverse the adjacent data units of the current data...

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Abstract

The invention discloses a radar plot clotting method based on contour tracking, which solves the problem of high time consumption caused by scanning data line by line. The radar plot clotting method is implemented by the steps of: inputting radar information; determining a radar azimuth sampling span, and performing azimuth sampling on input video data according to the span; traversing sampling points across the azimuths to find data units having detection bit flags; performing contour tracking on the determined data units having the detection bit flags; acquiring all data units in a search contour by adopting a region growing method; and performing plot clotting processing, and completing target plot clotting in the radar video data. The radar plot clotting method based on contour tracking changes the line-by-line scanning operation mode, the plot clotting method for rapid data search is constituted through combining cross-azimuth sampling with contour tracking and the region growingmethod, the targets of interest is found just by traversing a small part of the data, large amount of calculation is saved, theory and simulation prove that missed detection of the targets does exists, the real-time performance of high-resolution radar data processing is satisfied, and the radar plot clotting method is used for radar plot clotting data processing.

Description

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Claims

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Application Information

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Owner XIDIAN UNIV
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