SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis T Zhang, X Zhang, J Li, X Xu, B Wang, X Zhan, Y Xu, X Ke, T Zeng, H Su, ... Remote Sensing 13 (18), 3690, 2021 | 407 | 2021 |
LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR images T Zhang, X Zhang, X Ke, X Zhan, J Shi, S Wei, D Pan, J Li, H Su, Y Zhou, ... Remote Sensing 12 (18), 2997, 2020 | 233 | 2020 |
High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network T Zhang, X Zhang Remote Sensing 11 (10), 1206, 2019 | 202 | 2019 |
HOG-ShipCLSNet: A Novel Deep Learning Network with HOG Feature Fusion for SAR Ship Classification T Zhang, X Zhang, X Ke, C Liu, X Xu, X Zhan, C Wang, I Ahmad, Y Zhou, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-22, 2021 | 200 | 2021 |
Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection T Zhang, X Zhang, J Shi, S Wei Remote Sensing 11 (21), 2483, 2019 | 182 | 2019 |
Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images X Xu, X Zhang, T Zhang Remote Sensing 14 (4), 1018, 2022 | 178 | 2022 |
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection T Zhang, X Zhang, X Ke Remote Sensing 13 (14), 2771, 2021 | 177 | 2021 |
HyperLi-Net: A Hyper-Light Deep Learning Network for High-Accurate and High-Speed Ship Detection from Synthetic Aperture Radar Imagery T Zhang, X Zhang, J Shi, S Wei ISPRS Journal of Photogrammetry and Remote Sensing 167, 123-153, 2020 | 150 | 2020 |
Balance Learning for Ship Detection from Synthetic Aperture Radar Remote Sensing Imagery T Zhang, X Zhang, C Liu, J Shi, S Wei, I Ahmad, X Zhan, Y Zhou, D Pan, ... ISPRS Journal of Photogrammetry and Remote Sensing 182, 190-207, 2021 | 123 | 2021 |
A Polarization Fusion Network with Geometric Feature Embedding for SAR Ship Classification T Zhang, X Zhang Pattern Recognition 123, 108365, 2022 | 111 | 2022 |
ShipDeNet-20: An Only 20 Convolution Layers and <1-MB Lightweight SAR Ship Detector T Zhang, X Zhang IEEE Geoscience and Remote Sensing Letters 18 (7), 1234-1238, 2020 | 110 | 2020 |
Squeeze-and-Excitation Laplacian Pyramid Network with Dual-Polarization Feature Fusion for Ship Classification in SAR Images T Zhang, X Zhang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 88 | 2021 |
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images T Zhang, X Zhang, J Shi, S Wei, J Wang, J Li, H Su, Y Zhou IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 88 | 2020 |
A Mask Attention Interaction and Scale Enhancement Network for SAR Ship Instance Segmentation T Zhang, X Zhang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 72 | 2022 |
Injection of Traditional Hand-Crafted Features into Modern CNN-based Models for SAR Ship Classification: What, Why, Where, and How T Zhang, X Zhang Remote Sensing 13 (11), 2091, 2021 | 63 | 2021 |
A group-wise feature enhancement-and-fusion network with dual-polarization feature enrichment for SAR ship detection X Xu, X Zhang, Z Shao, J Shi, S Wei, T Zhang, T Zeng Remote Sensing 14 (20), 5276, 2022 | 59 | 2022 |
HTC+ for SAR Ship Instance Segmentation T Zhang, X Zhang Remote Sensing 14 (10), 2395, 2022 | 49 | 2022 |
A Full-Level Context Squeeze-and-Excitation ROI Extractor for SAR Ship Instance Segmentation T Zhang, X Zhang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 47 | 2022 |
SAR Ship Detection Based on an Improved Faster R-CNN Using Deformable Convolution X Ke, X Zhang, T Zhang, J Shi, S Wei IEEE International Geoscience and Remote Sensing Symposium, 3565-3568, 2021 | 37 | 2021 |
High-Speed and High-Accurate SAR Ship Detection Based on a Depthwise Separable Convolution Neural Network X Zhang, T Zhang, J Shi, S Wei J. Radars 8 (6), 841-851, 2019 | 37 | 2019 |