A small target detection method on sea surface based on multi-domain and multi-dimensional feature fusion

A small target detection and multi-dimensional feature technology, which is applied in the field of small target detection on the sea surface, can solve the problems of multi-domain feature extraction and reduce the calculation cost of high-dimensional judgment areas, and achieve the effect of improving detection performance and realizing performance

Active Publication Date: 2022-07-12
NANJING UNIV OF INFORMATION SCI & TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the difficulty of the feature class detection method lies in multi-domain feature extraction and reducing the calculation cost of high-dimensional decision regions

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
  • A small target detection method on sea surface based on multi-domain and multi-dimensional feature fusion
  • A small target detection method on sea surface based on multi-domain and multi-dimensional feature fusion
  • A small target detection method on sea surface based on multi-domain and multi-dimensional feature fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The technical solutions of the present invention will be further described below in conjunction with the embodiments.

[0022] refer to figure 1 , the implementation steps of the present invention are as follows:

[0023] Step 1, get the echo matrix Z

[0024] 1.1) It is assumed that the sea-facing radar system has four fully polarized channels, HH, HV, VH, and VV, and can simultaneously receive the echo vectors of the four polarized channels, denoted as z respectively. HH ,z HV ,z VH ,z VV , the vector length is N, where N represents the number of pulses. The received echo matrix Z=[z of the four polarization channels HH ,z HV ,z VH ,z VV ], which is the unit to be detected (CUT). The echo matrix of the K reference cells around the CUT is Z k =[z HH,k ,z HV,k ,z VH,k ,z VV,k ], k=1,2,...,K.

[0025] 1.2) The essence of detection It is judged whether the echo matrix contains the target echo or not. In the echo matrix Z = [z HH ,z HV ,z VH ,z VV ], t...

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 sea surface small target detection method based on multi-domain and multi-dimensional feature fusion. Multi-dimensional feature information of the domain and polarization domain; through the linear fusion of the polarization domain and the feature domain, the multi-dimensional features are compressed into the 3D feature space, which ensures high-dimensional information and reduces the computational cost; in the 3D feature space, the fast The convex hull algorithm obtains a controllable decision area for false alarms and realizes target detection. The detection method of the invention has robust performance in different marine environments, improves the detection performance of the radar for small targets on the sea surface, and provides a new idea for the detection of small targets on the sea surface.

Description

technical field [0001] The invention relates to a method for detecting small targets on the sea surface, in particular to a method for detecting small targets on the sea surface based on multi-domain and multi-dimensional feature fusion. Background technique [0002] With the development of stealth technology and the trend of miniaturization of detection targets, small targets on the sea surface are the key and difficult objects for early warning, detection and tracking of marine radars. Compared with targets such as warships and ships, small-sized surface targets such as boats, periscopes, and floating objects have weak echoes, which makes the Signal-to-Clutter Ratio (SCR) in a critical and detectable state. In the Doppler frequency domain, the Doppler migration of low-speed moving small targets falls within the main clutter band of sea clutter, which increases the difficulty of small target detection in the background of high-resolution sea clutter. Traditional detection ...

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): G01S7/41
CPCG01S7/41Y02A90/10
Inventor 施赛楠董泽远杨静姜丽
Owner NANJING UNIV OF INFORMATION SCI & TECH
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