Volume 37, Number 3, June 2019
|Page(s)||587 - 593|
|Published online||20 September 2019|
- MazzarellaF, VespeM, SantamariaC. SAR Ship Detection and Self-Reporting Data Fusion Based on Traffic Knowledge[J]. IEEE Trans on Geoscience & Remote Sensing Letters, 2015, 12(8): 1685-1689 [Article] [NASA ADS] [CrossRef] [Google Scholar]
- WangC, BiF, ZhangW, et al. An Intensity-Space Domain CFAR Method for Ship Detection in HR SAR Images[J]. IEEE Trans on Geoscience and Remote Sensing Letters, 2017, 14(4): 529-533 [Article] [NASA ADS] [CrossRef] [Google Scholar]
- Wang S, Sun L, Fan W, et al. An Automated CNN Recommendation System for Image Classification Tasks[C]//IEEE International Conference on Multimedia and Expo, 2017: 283-288 [Article] [Google Scholar]
- Bappy J H, Roy-Chowdhury A K. CNN bAsed Region Proposals for Efficient Object Detection[C]//IEEE International Conference on Image Processing, 2016: 3658-3662 [Article] [Google Scholar]
- Deng L, Yang M, Qian Y, et al. CNN Based Semantic Segmentation for Urban Traffic Scenes Using Fisheye Camera[C]//Intelligent Vehicles Symposium, 2017: 231-236 [Article] [Google Scholar]
- Girshick R, Donahue J, Darrell T, et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014: 580-587 [Article] [Google Scholar]
- Girshick R. Fast R-CNN[C]//IEEE International Conference on Computer Vision Computer Society, 2015: 1440-1448 [Google Scholar]
- Ren S, He K, Girshick R, et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks[C]//Advances in Neural Information Processing Systems, 2015: 91-99 [Google Scholar]
- HuangZ, PanZ, LeiB. Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data[J]. Remote Sensing, 2017, 9(9): 907 10.3390/rs9090907 [NASA ADS] [CrossRef] [Google Scholar]
- YuanQiuzhuang, WeiSongjie, LuoNa, Research on SAR Satellite Target Recognition System Based on Deep Learning Neural Network[J]. Aerospace Shanghai, 2017, 34(5): 46-53 [Article] [Google Scholar]
- Lin T Y, Dollár P, Girshick R, et al. Feature Pyramid Networks for Object Detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017: 2117-2125 [Article] [Google Scholar]
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