摘要
To address the presence of multiple moving targets with varying velocities in high-temporal spaceborne synthetic aperture radar (SAR), this paper proposes a tailored selection and detection method for moving targets with specific velocities. By leveraging the extremely high temporal resolution of such SAR systems, the method adjusts temporal features of moving targets through echo segmentation, thereby enhancing the discrimination between targets with varying velocities. A combination of kernel function-based high-dimensional mapping and line segment detection is then employed to effectively extract the desired targets. Experimental results demonstrate that the proposed method exhibits strong velocity selectivity and robustness, even under low signal-to-noise ratio (SNR) conditions, making it well-suited for large-scale dynamic monitoring.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Conference Proceedings of the 9th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2025 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 版本 | 2025 |
| ISBN(电子版) | 9784885523540 |
| DOI | |
| 出版状态 | 已出版 - 2025 |
| 活动 | 9th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2025 - Matsue, 日本 期限: 5 10月 2025 → 9 10月 2025 |
会议
| 会议 | 9th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2025 |
|---|---|
| 国家/地区 | 日本 |
| 市 | Matsue |
| 时期 | 5/10/25 → 9/10/25 |
学术指纹
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