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Yuanyuan Wang
Researcher at Chinese Academy of Sciences
Publications - 17
Citations - 823
Yuanyuan Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Synthetic aperture radar & Convolutional neural network. The author has an hindex of 9, co-authored 17 publications receiving 354 citations.
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Journal ArticleDOI
A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds
TL;DR: Experimental results reveal that object detectors achieve higher mean average precision (mAP) on the test dataset and have high generalization performance on new SAR imagery without land-ocean segmentation, demonstrating the benefits of the dataset the authors constructed.
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Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery
TL;DR: The experimental results reveal that retinaNet not only can efficiently detect multi-scale ships but also has a high detection accuracy and compared with other object detectors, RetinaNet achieves more than a 96% mean average precision (mAP).
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Multi-Temporal SAR Data Large-Scale Crop Mapping Based on U-Net Model
TL;DR: A large-scale crop mapping method using multi-temporal dual-polarization SAR data was proposed and can still achieve better classification performance under the condition of a complex crop planting structure.
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Ship Classification in High-Resolution SAR Images Using Deep Learning of Small Datasets.
TL;DR: The experimental results reveal that the proposed ship classification model trained by fine tuning achieves more than 95% average classification accuracy, even with 5-cross validation; and compared with other models, the ship classification models achieves at least 2% higher accuracies for classification.
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Combining a single shot multibox detector with transfer learning for ship detection using sentinel-1 SAR images
TL;DR: Experimental results reveal that 1) transfer learning improves the detection accuracy and overall performance and reduces the false positives, and 2) compared with the faster RCNN and other SSD models, the SSD-512 model with transfer learning achieves the best overall performance, which demonstrates the effectiveness of the approach.