FEMT-YOLO: Frequency-enhanced multi-scale network for small object detection in aerial images

Results in Engineering 2026 Open access

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Authors: Bingyu Cao, Zhikai Yang, Peng Zhou, Haiyong Chen
DOI: 10.1016/j.rineng.2026.109726
Cited by: 1
References: 15

Abstract

• First to identify and address three fundamental limitations in aerial small object detection through targeted innovations. • Novel frequency-enhanced pyramid network combining spatial and frequency domain processing for superior small object feature preservation. • Innovative task-aligned dynamic head with feature decomposition and geometric adaptation for optimized classification localization balance. Small object detection in aerial images faces significant challenges: objects typically occupy

Fields of Study & Subjects

Advanced Neural Network Applications Advanced SAR Imaging Techniques Infrared Target Detection Methodologies

Publication details

Journal / source
Results in Engineering
Publisher
Elsevier BV
Volume
29
Pages
109726–109726
Publication date
1 March 2026
Language
EN