Light Gradient Boosting Machine-Based Low–Slow–Small Target Detection Algorithm for Airborne Radar

For airborne radar, detecting a low–slow–small (LSS) target is a hot and challenging topic, which results from the rapidly increasing number of non-cooperative flying LSS targets becoming of widespread concern, and the low signal-to-clutter ratio (SCR) of LSS targets results in the targets being par...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 16; no. 10; p. 1737
Main Authors:	Liu, Jing, Huang, Pengcheng, Zeng, Cao, Liao, Guisheng, Xu, Jingwei, Tao, Haihong, Juwono, Filbert H.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2024
Subjects:	Airborne radar airborne radar target detection Airplanes Algorithms Altitude Artificial intelligence Classifiers Clutter clutter suppression Comparative analysis Computing time data collection Datasets Decision trees Design Feature extraction light gradient boosting machine low–slow–small target Machine learning Methods probability Radar Radar detection Radar equipment Real time space and time Support vector machines Target acquisition Target detection Uniqueness Unmanned aerial vehicles China
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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