Acta Aeronautica et Astronautica Sinica ›› 2025, Vol. 46 ›› Issue (10): 31251.doi: 10.7527/S1000-6893.2024.31251
• Reviews • Previous Articles
Weishi CHEN(
), Hongchuang NIU, Xin WANG, Jian WAN, Xianfeng LU, Jie ZHANG, Qingbin WANG
Received:2024-09-23
Revised:2024-10-14
Accepted:2024-11-22
Online:2024-12-24
Published:2024-11-29
Contact:
Weishi CHEN
E-mail:wishchen@buaa.edu.cn
Supported by:CLC Number:
Weishi CHEN, Hongchuang NIU, Xin WANG, Jian WAN, Xianfeng LU, Jie ZHANG, Qingbin WANG. Review on multi-source detection technologies for birds and drones in airport clearance area[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(10): 31251.
Table 1
Classification methods for flying birds and UAV targets based on radar
| 目标类型 | 分类方法 | 文献 |
|---|---|---|
| 10类无人机vs鸟 | m-D特征对+SVM+NBC | [ |
| 10类无人机vs鸟 | m-D特征(EMD)+SVM | [ |
| 10类无人机vs鸟 | m-D特征(EMD),EMD+SVM的熵 | [ |
| 2类无人机vs鸟 | 三类m-D特征(SVD)+SVM | [ |
| 1类无人机vs鸟 | 二维正则复对数傅里叶变换+子空间可靠性分析 | [ |
| 有载荷无人机vs无载荷无人机 | m-D特征+DAC | [ |
| 1类无人机vs杂波 | m-D特征+CFAR | [ |
| 3类无人机 | 双雷达m-D特征(PCA)+SVM | [ |
| 3类无人机 | 双雷达m-D特征(PCA)+SVM | [ |
| 1类无人机vs杂波 | m-D特征+非均匀采样相干积累 | [ |
| 1类无人机vs鸟 | 运动模型转换频率估计 | [ |
| 2类无人机vs鸟 | 运动模型、速度、信号特征集+SVM | [ |
| 3类无人机vs鸟 | 雷达极化特征+最近邻 | [ |
| 3类无人机vs鸟 | 微动特征+运动特征+RCS+随机森林 | [ |
| 3类无人机vs鸟 | 7类19种特征 | [ |
| 5类无人机vs鸟 | m-D特征(CVD)+CNN | [ |
| 2类无人机vs鸟 | SCF参考库+DBN | [ |
| 1类无人机vs鸟 | 距离剖面矩阵+CNN | [ |
| 2类无人机 | IQ+MLP | [ |
| 3类无人机 | 雷达信号点云+MLP | [ |
| 1类无人机vs鸟 | 运动模型、速度、RCS特征集+MLP | [ |
Table 2
Classification methods of birds and UAV targets based on optoelectronics
| 数据类型 | 目标类型 | 分类方法 | 文献 |
|---|---|---|---|
| 可见光图像 | 3类飞鸟 | CNN | [ |
| 可见光图像 | 16种水鸟 | Faster R-CNN+RetinaNet | [ |
| 可见光图像 | 鸟类+无人机 | Deformable DETR | [ |
| 可见光图像(SOD4SB) | 鸟类 | Swin Transformer | [ |
| 可见光图像(CUB-200) | 鸟类 | DNN | [ |
| 可见光图像 | 鸟类 | Faster R-CNN | [ |
| 可见光图像 | 鸟类 | DC-YOLO | [ |
| 遥感可见光图像 | 鸟类(企鹅) | YOLO-Pd | [ |
| 可见光图像 | 10种鸟类 | ResNet34 | [ |
| 可见光图像(AVSS2017) | 无人机 | CNN | [ |
| 可见光图像(AVSS2019) | 无人机 | 运动模型网络+CNN | [ |
| 可见光图像(AVSS2019) | 无人机 | 超分辨率处理+CNN | [ |
| 可见光图像(AVSS2017) | 无人机 | YOLO | [ |
| 可见光图像 | 无人机 | 增强树+CNN | [ |
| 可见光图像 | 无人机 | CNN | [ |
| 可见光图像 | 无人机 | Le Net-5 | [ |
| 可见光图像 | 无人机 | YOLOv3 | [ |
| 可见光图像 | 鸟类+无人机 | YOLO | [ |
| 红外图像 | 无人机 | YOLOv7 | [ |
| 红外图像 | 无人机 | IDOU-YOLO | [ |
| 红外图像 | 无人机 | 时空对尺度滤波 | [ |
| 红外图像 | 无人机 | 时空域特征 | [ |
| 红外图像 | 无人机 | 多尺度U-Net | [ |
| 红外图像 | 无人机 | 残差图像预测 | [ |
| 红外图像 | 无人机 | 形状先验分割+多尺度特征 | [ |
| 红外图像 | 无人机 | 不对称注意力融合机制 | [ |
| 红外图像 | 无人机 | YOLOv5 | [ |
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