Public datasetRSDD-SARDeep learningThis paper releases a rotated SAR ship detection dataset, named Rotated Ship Detection Dataset in SAR Images (RSDD-SAR), to address the problem that the existing rotated SAR ship detection datasets are not enough to meet the requirements of algorithm development...
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 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...
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, experiments based on the CenterNet model were implemented on the benchmark SAR image dataset SSDD (SAR ship detection dataset). The experimental results demonstrate that our proposed long-edge decomposition RBB encoding outperforms other conventional RBB encodings in the task of oriented ship ...
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 ...
rotated ship detectionsynthetic aperture radar (SAR)Deep learning methods have greatly promoted the ship detection performance in synthetic aperture radar (SAR) images. However, due to the different imaging mechanisms and target characteristics, detecting ships in SAR imagery precisely and efficiently is...
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 the average precision (AP) of the proposed method is 79.30% in the nearshore scenario, which...
Chen Yi,Jin Yaqui.Detection of ship wakes in SAR image using rotated window radon transform.Journal Of Electronics. 2002Chen Yi,Jin Yaqui.Detection of ship wakes in SAR image using rotated window radon transform. Journal Of Electronics . 2002...
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): ...