Detection of vehicles in Synthetic Aperture Radar (SAR) imagery using oriented bounding boxes. Designed for remote sensing applications including surveillance, defense, disaster response, and urban monitoring.
The pretrained DOTAv1 model scored 0.0 on all metrics when evaluated on SIVED test data. DOTAv1 contains optical aerial categories with no SAR vehicle mapping, confirming that domain-specific fine-tuning is essential.
1@Article{rs15112825,
2 author = {Lin, Xin and Zhang, Bo and Wu, Fan and Wang, Chao and Yang, Yali and Chen, Huiqin},
3 title = {SIVED: A SAR Image Dataset for Vehicle Detection Based on Rotatable Bounding Box},
4 journal = {Remote Sensing},
5 volume = {15},
6 number = {11},
7 pages = {2825},
8 year = {2023},
9 doi = {10.3390/rs15112825}
10}
