A neural network framework for binary classification of radar detections
Abstract A desired objective in radar target detection is to satisfy two very contradictory requirements: offer a high probability of detection with a low false alarm rate. In this paper, we propose the utilization of artificial neural networks for binary classification of targets detected by a depr...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-10-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
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| Online Access: | https://doi.org/10.1186/s13634-021-00801-y |