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Special Issue on
Low-Slow-Small Targets Detection and Recognition

Release Date: 2023-06-20 Visited:
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In recent years, low-speed-small (LSS) targets represented by unmanned aerial vehicle (UAV) have caused serious safety hazards to social security and national defense construction. Therefore, the efficient detection and recognition of LSS targets has important practical significance for low altitude security. Currently, the mainstream sensors used for detecting LSS targets include radio equipment, radar, passive radar, and optoelectronic (visible/infrared) equipment, etc. Radio equipment detects and locates UAVs by detecting their radiated communication signals, and then uses signal features to identify the type of UAVs. Radar generally employs X band or even higher frequency bands to detect LSS targets.Passive radar usually utilizes external radiation source signals (e.g., digital television signals and communication base station signals) to detect LSS targets.Moreover, passive radaris cost-effective and easy to conceal due to the absence of a dedicated transmitter. Optoelectronic equipment is more suitable for tracking and recognizingLSS targets, but is severely affected by weather.

There has been a certain degree of progress in the detection, tracking, and recognitiontechnology of LSS targets in recent years. However, due to the complex low altitude environment and the low slow and small characteristics of the targets, current sensors still face challenges, theoretically and experimentally. For example, radio is susceptible to interference from other electromagnetic radiation. In addition, the weak target echo signal and inapparent Doppler effect make it difficult for radar to detect and recognize LSS targets. Furthermore, the weak thermal radiation signal and missing features of the target pose enormous difficulties and challenges to the detection and recognition of optoelectronic targets. Therefore, effective prevention and precise detection of LSS targets still urgently need to be addressed.

We invite you to submit the most recent advancements in (but not limited to) the following topics:

● LSS targets detection, tracking, and recognition based on radio

LSS targets detection, tracking, and recognition based on radar

LSS targets detection, tracking, and recognition based on passive radar

LSS targets detection, tracking, and recognition based on visible/infrared equipment, etc.

Multi-sensor data fusion and comprehensive identification

Technique reviews on the related topics

Schedule

September 30, 2023 Full paper submission deadline

February 28, 2024 Publication date

Format

All submissions will be peer reviewed according to the Journal of Beijing Institute of Technology guidelines. The contributions should be original and have not been published or submitted elsewhere. Submit your manuscript onhttps://mc03.manuscriptcentral.com/jbitand select the special issue “202401- Low-Slow-Small Targets Detection and Recognition”. Prospective authors should consult the sitehttp://journal.bit.edu.cn/jbitfor guidelines and information on paper submission. All submissions must be formatted according to the format requirements provided onhttp://journal.bit.edu.cn/jbit.

Guest Editors

Tao Shan, Beijing Institute of Technology, China (shantao@bit.edu.cn)

Lan Du, Xidian University, China (dulan@mail.xidian.edu.cn)

Jianxin Yi, Wuhan University, China (jxyi@whu.edu.cn)

Haiyang Zhang, Beijing Institute of Technology, China (ocean@bit.edu.cn)

Dongdong Pang, Beijing Institute of Technology, China (7520220123 @bit.edu.cn)


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Release Date: 2023-06-20 Visited:
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