Experimental results on the publicly available rotated SAR ship dataset SSDD+ demonstrate that the proposed method obtains remarkable performance compared to one-stage and anchor-free methods, especially that th
In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 770–778 Liu Z, Liu Y, Weng L, Yang Y (2017) A high resolution optical satellite image dataset for ship recognition and some new baselines. In: International conference on pattern recognition applications & ...
Ship detection has been an active and vital topic in the field of remote sensing for a decade, but it is still a challenging problem due to the large-scale variations, the high aspect ratios, the intensive and rotated arrangement, and the background clutter disturbance. In this letter, we...
In experiments, the SAR Ship Detection Dataset (SSDD) [38,39] and the Rotated Ship Detection Dataset in SAR images (RSDD) [40] were used to evaluate the performance of our SRNet. Because the precision of RB-Box is the key factor for the instance segmentation in our network, the ship-...
Finally, to promote further research in this field, a novel dataset, the rotated-SARShip dataset (RSSD), is released to provide a challenging benchmark for arbitrary-oriented ship detection in SAR images. Extensive experiments and visual analysis on three datasets prove that our approach achieves...
Output is written underneath $FRCN_ROOT/output. cd $FRCN_ROOT ./experiments/scripts/ship_detection_end2end.sh [GPU_ID] VGG16 pascal_voc # GPU_ID is the GPU you want to train onAbout A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated ...
In addition, we adopt a balanced L1 loss to balance the classification loss and regression loss. Based on the SAR rotation ship detection dataset, we conduct extensive ablation experiments and compare our RBFA-Net with eight other state-of-the-art rotated detection networks. The ...
Chen Yi,Jin Yaqui.Detection of Ship Wakes in SAR Image Using Rotated Window Radon Transform 『J1. Journal of Electronics.2002.1 9(1):77--8 1.Chen Yi, Jin Yaqui. Detection of Ship Wakes in SAR Image Using Rotated Window Radon Transform [J]. Journal of Electronics, 2002, 19 (1): ...
ROS-Det: Arbitrary-Oriented Ship Detection in High Resolution Optical Remote Sensing Images via Rotated One-Stage Detectordoi:10.1109/ACCESS.2021.3058386Mingming ZhuGuoping HuShuai LiShijie Yue
The mAP07, mAP12 on the HRSC2016 dataset, as well as the mAP in the ship category of the DOTA dataset, show a significant advantage over other commonly used object detection algorithms, with accuracies of 90.70%, 98.98%, and 89.46%, respectively. These results further validate the accuracy...