YOLO Network-Based Extraction of Target Geometry From Time-Frequency Representation
In response to challenges in target geometric parameter extraction from radar echoes, an improved YOLOv8 neural network model is proposed in this paper to recognize target types and extract geometric parameters of targets from time-frequency representation (TFR). Compared with the existing network m...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10925523/ |
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