AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 17; pp. 4208 - 4221
• Main Authors: Wang, Keyan, Wu, Xueyan, Zhou, Peicheng, Chen, Zuntian, Zhang, Rui, Yang, Liyun, Li, Yunsong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Attention mechanism; Background noise; Clutter; convolutional neural network (CNN); Decoding; Detection; False alarms; Feature extraction; Infrared imagery; infrared small target detection; Modules; nonlocal dependency; Object detection; Semantics; Signal to noise ratio; Sparse matrices; Target detection; Task analysis

Infrared small target detection is considerably challenging due to the few pixels in targets, low signal-to-noise ratio, and complex background. In this article, we propose an effective attention-guided feature enhancement network (AFE-Net), which can leverage the local and nonlocal features of targ...