遥感图像小目标检测算法
小目标检测算法论文代码
https://github.com/knhngchn/awesome-tiny-object-detection
1.YOLT
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
https://github.com/CosmiQ/yolt
文献解读:https://blog.csdn.net/z704630835/article/details/95165116
传统深度学习算法在制作遥感图像时面临的问题:
[En]
The problems faced by traditional depth learning algorithms in making remote sensing images:
- 地面很多目标较小,在图像中仅仅表现出非常少的像元范围
- 垂直投影导致目标的角度不一,例如船可以有不同方向的朝向
- 训练样本不足
- 输入图像巨大,传统方法下采样难以实现
2.R2CNN-Plus-Plus_Tensorflow
https://codechina.csdn.net/mirrors/DetectionTeamUCAS/R2CNN-Plus-Plus_Tensorflow
3.CSL_RetinaNet_Tensorflow
Original: https://blog.csdn.net/qq_51682716/article/details/120678592
Author: 努力学习DePeng
Title: 遥感图像小目标检测算法
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