A Method for Detecting Aircraft Small Targets in Remote Sensing Images by Using CNNs Fused With Handcrafted Features

Aircraft target detection is a challenging task in remote sensing images, especially for aircraft small target detection. The most advanced object detection framework currently processes all information in the image uniformly through a deep neural network. In the past, in the process of detecting ai...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2024, Vol.21, p.1-5
Hauptverfasser:	Yu, Lijian, Zhi, Xiyang, Zhang, Shuqing, Jiang, Shikai, Hu, Jianming, Zhang, Wei, Huang, Yuanxin
Format:	Artikel
Sprache:	eng
Schlagworte:	Aircraft Aircraft detection Aircraft target Artificial neural networks Atmospheric modeling Convolutional neural networks Deep learning Embedding Feature extraction feature fusion Feature maps handcrafted feature Head Information processing Neural networks Object recognition Remote sensing small object Target detection
Online-Zugang:	Volltext
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