Method of automatic identification of flying targets by motion, time, and 3/A code information
US11526813B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 30, 2019 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Mar 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present invention proposes a method to automatically identify the flying targets by physical information (coordinates, heading, speed), time, and identification information (3/A code). This method includes two steps: features extraction and building machine learning model. In the features extraction step, features which are extracted include: cell indexes corresponding to coordinates, information of flight path, time in day/night format, heading, speed, and 3/A code, constructing n-dimensional vector. This vector is used as input for training a Random Forest model, to automatically identify class label of flying targets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.