A thermal grid-based method for intention recognition of air target formations

Li Chen; Yulong Zhang; Yanghe Feng; Yuzhen Zhou

doi:10.1117/12.2652698

10 November 2022 A thermal grid-based method for intention recognition of air target formations

Li Chen, Yulong Zhang, Yanghe Feng, Yuzhen Zhou

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123314V (2022) https://doi.org/10.1117/12.2652698
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

Intention recognition of air target formations plays a crucial role in modern air warfare. Therefore, the paper combines expert experience and domain knowledge to propose a formation intention determination method based on a thermal grid map. Firstly, the confrontation area is reasonably gridded, secondly, a thermal distribution grid map is generated based on the spatial characteristics of the target intelligence data, then formations are derived based on the map, and finally the intention of each formation is judged based on the adversarial rules. In order to evaluate the feasibility of this method, a data case is given in this paper to demonstrate its effectiveness in practical application.

Citation Download Citation

Li Chen, Yulong Zhang, Yanghe Feng, and Yuzhen Zhou "A thermal grid-based method for intention recognition of air target formations", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123314V (10 November 2022); https://doi.org/10.1117/12.2652698

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available