Feature Fusion Judgment Method of Moving Target in Radar Video

A moving target and feature fusion technology, applied in the direction of radio wave reflection/re-radiation, using re-radiation, measuring devices, etc., can solve problems such as multiple false tracks, achieve small calculation, reduce false tracks, and improve detection effect of effect

Active Publication Date: 2017-11-17
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the case of dense clutter and complex multiple targets, there are many false tracks in the detection and tracking of moving targets by radar, and a method for robustly judging moving targets at sea is provided. The technical problems to be solved include :

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Feature Fusion Judgment Method of Moving Target in Radar Video
  • Feature Fusion Judgment Method of Moving Target in Radar Video
  • Feature Fusion Judgment Method of Moving Target in Radar Video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The present invention will be described in further detail below in conjunction with the accompanying drawings. With reference to the accompanying drawings in the description, the specific implementation of the present invention is divided into the following steps:

[0016] (1) Input the pre-acquired radar video image into the computing device 1 to perform iterative threshold segmentation. Set parameter T 0 , and choose an initial estimated threshold T 1 ; with threshold T 1 Segment the image, divide the image into two parts: G 1 is determined by the gray value greater than T 1 The pixel composition, G 2 is determined by the gray value less than or equal to T 1 The pixel composition; calculate G 1 and G 2 The average gray value μ of all pixels in 1 and μ 2 , and a new threshold T 2 =(μ 1 +μ 2 ) / 2; if|T 2 -T 1 |0 , then introduce T 2 is the optimal threshold, otherwise, set T 2 assign to T 1 , until the optimal threshold is obtained.

[0017] (2) The co...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a radar video moving object feature fusion determination method, and belongs to the radar signal processing field. The determination method is aimed to the problem that a radar exists more false tracks in detection and tracking of a moving object under dense clutter and complex multi-target conditions. By utilization of an iteration threshold segmentation method, a suspected object is detected rapidly from a single frame of radar video image, and continuous multi-frame detection results are accumulated. Single frame detection result and multi-frame accumulation results are integrated, the area change ratio and the energy density characteristic of the object are extracted, the D-S evidence theory is employed to carry out decision fusion, and the optimal decision is obtained to achieve correct determination of the moving object. The method takes full advantage of correlation of an object in certain space and time scopes and geometric construction information of the object, false tracks in detection and tracking of a moving object can be removed effectively, and the determination method has popularization and application values.

Description

technical field [0001] The invention relates to a method for judging a moving target by fusion of geometric and energy features of the target in the field of radar signal processing, that is, a multi-feature decision-making fusion judgment method, which is suitable for judging moving targets in radar videos. Background technique [0002] Radar plays a vital role in ocean surveillance, and moving target detection and tracking are the most basic functions of radar. Initially, the radar operator detects the target at sea based on the echo signal on the radar screen, manually locks the target and cooperates with the background hardware to complete the target tracking. In recent years, most of the new radars have the function of automatic target detection and tracking, but in the case of dense clutter and complex multiple targets, the false alarm rate of target detection is high, the tracking processing is difficult, and it is easy to form false tracks. Therefore, it is of great...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41G01S13/66
CPCG01S7/415G01S13/66
Inventor 周伟于晓涵姜佰辰孙艳丽胡文超刘宁波关键
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap