A Double-Head Global Reasoning Network for Object Detection of Remote Sensing Images

Object detection of remote sensing images is a fundamental and important task for a wide range of applications, such as agriculture, military, and geological exploration. However, it is still a challenging task due to complex background, heavy occlusion, and object ambiguities. Complex remote sensin...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-16
Hauptverfasser:	Shi, Jingye, Zhi, Ruicong, Zhao, Jingru, Hou, Yuewu, Zhao, Zeyong, Wu, Jingyi, Liu, Jiqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Cognition Detection Detectors Double-head global reasoning network (DGRN) Embedding Feature extraction Geological surveys Graph neural networks graph reasoning Graphs Localization Marine vehicles Neural networks object detection Object recognition Occlusion Performance enhancement Proposals Reasoning Remote sensing remote sensing images YOLO
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