Fast Drone Detection With Optimized Feature Capture and Modeling Algorithms-Reference-Cited by-同舟云学术

Fast Drone Detection With Optimized Feature Capture and Modeling Algorithms

Author:

Tu Xiaohan¹^ORCID,Zhang Chuanhao¹,Zhuang Haiyan¹,Liu Siping²^ORCID,Li Renfa³^ORCID

Affiliation:

1. Department of Image and Network Investigation, Zhengzhou Police University, Zhengzhou, China

2. School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China

3. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

Funder

Henan Natural Science Foundation

Key Scientific Research Project Plan of Colleges and Universities in Henan Province

Science and Technology Plan of PRC Ministry of Public Security

Fundamental Research Funds for Central Universities of Zhengzhou Police University

Key Research and Development and Promotion Special Project of Henan Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference33 articles.

1. Evidential detection and tracking collaboration: New problem, benchmark and algorithm for robust anti-UAV system;Zhu;arXiv:2306.15767,2023

3. The 2nd anti-UAV workshop & challenge: Methods and results;Zhao