Ship detection based on fused features and rebuilt YOLOv3 networks in optical remote-sensing images

References

• Bao, S. Z., X. Zhong, R. F. Zhu, X. N. Zhang, Z. Q. Li, and M. Y. Li. 2019. “Single Shot Anchor Refinement Network for Oriented Object Detection in Optical Remote Sensing Imagery.” Ieee Access 7: 87150–87161.
   Web of Science ®Google Scholar
• Besbinar, B., and A. A. Alatan. 2015. “Inshore Ship Detection in High Resolution Satellite Images: Approximation of Harbours Using Sea-land Segmentation.” In Image and Signal Processing for Remote Sensing Xxi, 9643. doi:10.1117/12.2194928.
   Google Scholar
• Bodla, N., B. Singh, R. Chellappa, and L. S. Davis. 2017. “Soft-NMS - Improving Object Detection with One Line of Code.” In 2017 Ieee International Conference on Computer Vision (Iccv), 5562–5570. doi:10.1109/Iccv.2017.593.
   Google Scholar
• Cai, Z. W., Q. F. Fan, R. S. Feris, and N. Vasconcelos. 2016. “A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection.” Computer Vision - Eccv, no. Pt Iv 9908: 354–370. doi:10.1007/978-3-319-46493-0_22.
   Google Scholar
• Cheng, G., J. W. Han, P. C. Zhou, and L. Guo. 2014. “Multi-class Geospatial Object Detection and Geographic Image Classification Based on Collection of Part Detectors.” Isprs Journal of Photogrammetry and Remote Sensing 98: 119–132. doi:10.1016/j.isprsjprs.2014.10.002.
   Web of Science ®Google Scholar
• Crisp, D. J. 2004. “The State-of-the-art in Ship Detection in Synthetic Aperture Radar Imagery.” No. DSTO-RR-0272. Defence Science and Technology Organisation Salisbury (Australia) Info Sciences Lab.
   Google Scholar
• Dai, J. F., Y. Li, K. M. He, and J. Sun. 2016. “R-FCN: Object Detection via Region-based Fully Convolutional Networks.” Advances in Neural Information Processing Systems 29 (Nips 2016): 29.
   Google Scholar
• Dong, C., J. H. Liu, and F. Xu. 2018. “Ship Detection in Optical Remote Sensing Images Based on Saliency and a Rotation-Invariant Descriptor.” Remote Sensing 10 (3). doi:10.3390/rs10030400.
   Web of Science ®Google Scholar
• Duan, K. W., S. Bai, L. Xie, H. G. Qi, Q. M. Huang, and Q. Tian. 2019. “CenterNet: Keypoint Triplets for Object Detection.” arXiv e-prints:arXiv 1904: 08189.
   Google Scholar
• Eldhuset, K. 1996. “An Automatic Ship and Ship Wake Detection System for Spaceborne SAR Images in Coastal Regions.” IEEE Transactions on Geoscience and Remote Sensing 34 (4): 1010–1019.
   Web of Science ®Google Scholar
• Girshick, R. 2015. “Fast R-cnn.” In Proceedings of the IEEE International Conference on Computer Vision., 1440–1448, IEEE, Piscataway, NJ.
   Google Scholar
• Girshick, R., J. Donahue, T. Darrell, and J. Malik. 2014. “Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.” In 2014 Ieee Conference on Computer Vision and Pattern Recognition (Cvpr), 580–587. doi:10.1109/Cvpr.2014.81.
   Google Scholar
• He, K. M., G. Gkioxari, P. Dollar, and R. Girshick. 2017. “Mask R-CNN.” In 2017 Ieee International Conference on Computer Vision (Iccv), 2980–2988. doi:10.1109/Iccv.2017.322.
   Google Scholar
• He, K. M., X. Y. Zhang, S. Q. Ren, and J. Sun. 2015. “Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.” Ieee Transactions on Pattern Analysis and Machine Intelligence 37 (9): 1904–1916. doi:10.1109/Tpami.2015.2389824.
   PubMed Web of Science ®Google Scholar
• He, K. M., X. Y. Zhang, S. Q. Ren, and J. Sun. 2016. “Deep Residual Learning for Image Recognition.” In 2016 Ieee Conference on Computer Vision and Pattern Recognition (Cvpr), 770–778. doi:10.1109/Cvpr.2016.90.
   Google Scholar
• Hu, J., L. Shen, and G. Sun. 2018. “Squeeze-and-Excitation Networks.” In 2018 Ieee/Cvf Conference on Computer Vision and Pattern Recognition (Cvpr), 7132–7141. doi:10.1109/Cvpr.2018.00745.
   Google Scholar
• Jiao, J., Y. Zhang, H. Sun, X. Yang, X. Gao, W. Hong, K. Fu, and X. Sun. 2018. “A Densely Connected End-to-end Neural Network for Multiscale and Multiscene SAR Ship Detection.” IEEE Access 6: 20881–20892.
   Web of Science ®Google Scholar
• Law, H., and J. Deng. 2018. “Cornernet: Detecting Objects as Paired Keypoints.” In Proceedings of the European Conference on Computer Vision (ECCV), 734–750, Springer, Berlin, German.
   Google Scholar
• Leng, X. G., K. F. Ji, S. L. Zhou, X. W. Xing, and H. X. Zou. 2016. “An Adaptive Ship Detection Scheme for Spaceborne SAR Imagery.” Sensors 16 (9). doi:10.3390/s16091345.
   PubMed Web of Science ®Google Scholar
• Lin, H. N., Z. W. Shi, and Z. X. Zou. 2017. “Fully Convolutional Network with Task Partitioning for Inshore Ship Detection in Optical Remote Sensing Images.” Ieee Geoscience and Remote Sensing Letters 14 (10): 1665–1669.
   Web of Science ®Google Scholar
• Lin, T. Y., P. Goyal, R. Girshick, K. M. He, and P. Dollar. 2020. “Focal Loss for Dense Object Detection.” Ieee Transactions on Pattern Analysis and Machine Intelligence 42 (2): 318–327.
   PubMed Web of Science ®Google Scholar
• Liu, S., D. Huang, and Y. H. Wang. 2018. ““Receptive Field Block Net for Accurate and Fast Object Detection.” In In Proceedings of the European Conference on Computer Vision (ECCV), pp. 385–400, Springer, Berlin, German.
   Google Scholar
• Liu, W., D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Y. Fu, and A. C. Berg. 2016a. “SSD: Single Shot MultiBox Detector.” Computer Vision - Eccv Pt I (9905): 21–37. doi:10.1007/978-3-319-46448-0_2.
   Google Scholar
• Liu, Z. K., H. Z. Wang, L. B. Weng, and Y. P. Yang. 2016b. “Ship Rotated Bounding Box Space for Ship Extraction from High-Resolution Optical Satellite Images with Complex Backgrounds.” Ieee Geoscience and Remote Sensing Letters 13 (8): 1074–1078. doi:10.1109/Lgrs.2016.2565705.
   Web of Science ®Google Scholar
• Long, G., and X. Q. Chen. 2007. “A Method for Automatic Detection of Ships in Harbor Area in High-resolution Remote Sensing Image.” Comput. Simul 24 (5): 198–201.
   Google Scholar
• Maas, A. L., A. Y. Hannun, and A. Y. Ng. 2013. “Rectifier Nonlinearities Improve Neural Network Acoustic Models.” Proc. Icml 30 (1): 3.
   Google Scholar
• Qi, S. X., J. Ma, J. Lin, Y. S. Li, and J. W. Tian. 2015. “Unsupervised Ship Detection Based on Saliency and S-HOG Descriptor from Optical Satellite Images.” Ieee Geoscience and Remote Sensing Letters 12 (7): 1451–1455. doi:10.1109/Lgrs.2015.2408355.
   Web of Science ®Google Scholar
• Redmon, J., S. Divvala, R. Girshick, and A. Farhadi. 2016. “You Only Look Once: Unified, Real-time Object Detection.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition., 779–788, IEEE, Piscataway, NJ.
   Google Scholar
• Redmon, J., and A. Farhadi. 2017. “YOLO9000: Better, Faster, Stronger.” In 30th Ieee Conference on Computer Vision and Pattern Recognition (Cvpr 2017), 6517–6525. doi:10.1109/Cvpr.2017.690.
   Google Scholar
• Redmon, J., and A. Farhadi. 2018. “Yolov3: An Incremental Improvement.” arXiv Preprint arXiv 1804: 02767.
   Google Scholar
• Ren, S. Q., K. M. He, R. Girshick, and J. Sun. 2015. “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.” Advances in Neural Information Processing Systems 28 (Nips 2015): 28.
   Google Scholar
• Ronneberger, O., P. Fischer, and T. Brox. 2015. “U-Net: Convolutional Networks for Biomedical Image Segmentation.” Medical Image Computing and Computer-Assisted Intervention Pt Iii (9351): 234–241. doi:10.1007/978-3-319-24574-4_28.
   Google Scholar
• Sun, K., B. Xiao, D. Liu, and J. Wang. 2019. “Deep High-resolution Representation Learning for Human Pose Estimation.” arXiv Preprint arXiv 1902: 09212.
   Google Scholar
• Tello, M., C. Lopez-Martinez, and J. J. Mallorqui. 2005. “A Novel Algorithm for Ship Detection in SAR Imagery Based on the Wavelet Transform.” Ieee Geoscience and Remote Sensing Letters 2 (2): 201–205. doi:10.1109/Lgrs.2005.845033.
   Web of Science ®Google Scholar
• Wang, C., S. F. Jiang, H. Zhang, F. Wu, and B. Zhang. 2014. “Ship Detection for High-Resolution SAR Images Based on Feature Analysis.” Ieee Geoscience and Remote Sensing Letters 11 (1): 119–123. doi:10.1109/Lgrs.2013.2248118.
   Web of Science ®Google Scholar
• Wang, N., B. Li, Q. Z. Xu, and Y. H. Wang. 2019a. “Automatic Ship Detection in Optical Remote Sensing Images Based on Anomaly Detection and SPP-PCANet.” Remote Sensing 11 (1). doi:10.3390/rs11010047.
   Web of Science ®Google Scholar
• Wang, Y. Y., C. Wang, H. Zhang, Y. B. Dong, and S. S. Wei. 2019b. “Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery.” Remote Sensing 11 (5). doi:10.3390/rs11050531.
   Web of Science ®Google Scholar
• Xia, G. S., X. Bai, J. Ding, Z. Zhu, S. Belongie, J. B. Luo, M. Datcu, M. Pelillo, and L. P. Zhang. 2018. “DOTA: A Large-scale Dataset for Object Detection in Aerial Images.” In 2018 Ieee/Cvf Conference on Computer Vision and Pattern Recognition (Cvpr), 3974–3983. doi:10.1109/Cvpr.2018.00418.
   Google Scholar
• Yang, F., Q. Z. Xu, B. Li, and Y. Ji. 2018a. “Ship Detection From Thermal Remote Sensing Imagery Through Region-Based Deep Forest.” Ieee Geoscience and Remote Sensing Letters 15 (3): 449–453. doi:10.1109/Lgrs.2018.2793960.
   Web of Science ®Google Scholar
• Yang, X., H. Sun, K. Fu, J. R. Yang, X. Sun, M. L. Yan, and Z. Guo. 2018b. “Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks.” Remote Sensing 10 (1). doi:10.3390/rs10010132.
   PubMed Web of Science ®Google Scholar
• You, Y. N., J. Y. Cao, Y. K. Zhang, F. Liu, and W. L. Zhou. 2019. “Nearshore Ship Detection on High-Resolution Remote Sensing Image via Scene-Mask R-CNN.” Ieee Access 7: 128431–128444. doi:10.1109/Access.2019.2940102.
   Web of Science ®Google Scholar
• Yu, Y. D., X. B. Yang, S. J. Xiao, and J. L. Lin. 2012. “Automated Ship Detection from Optical Remote Sensing Images.” Advanced Materials in Microwaves and Optics 500: 785–791. doi:10.4028/www.scientific.net/KEM.500.785.
   Google Scholar
• Zhang, F. L., L. Zhang, and B. F. Wu. 2007. “Progress of Ship Detection Technology and System Based on Remote Sensing Technology in European Union.” Journal of Remote Sensing-beijing- 11 (4): 552.
   Google Scholar
• Zhang, S., L. Y. Wen, X. Bian, Z. Lei, and S. Z. Li. 2018. “Single-Shot Refinement Neural Network for Object Detection.” In 2018 Ieee/Cvf Conference on Computer Vision and Pattern Recognition (Cvpr), 4203–4212. doi:10.1109/Cvpr.2018.00442.
   Google Scholar
• Zhang, S. M., R. Z. Wu, K. Y. Xu, J. M. Wang, and W. W. Sun. 2019. “R-CNN-Based Ship Detection from High Resolution Remote Sensing Imagery.” Remote Sensing 11 (6). doi:10.3390/rs11060631.
   PubMed Web of Science ®Google Scholar
• Zhao, Q. J., T. Sheng, Y. T. Wang, Z. Tang, Y. Chen, L. Cai, and H. B. Ling. 2019. “M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network.” In Thirty-Third Aaai Conference on Artificial Intelligence/Thirty-First Innovative Applications of Artificial Intelligence Conference/Ninth Aaai Symposium on Educational Advances in Artificial Intelligence, 9259–9266, AAAI , menlo Park, CA.
   Google Scholar
• Zhu, C. R., H. Zhou, R. S. Wang, and J. Guo. 2010. “A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features.” Ieee Transactions on Geoscience and Remote Sensing 48 (9): 3446–3456. doi:10.1109/Tgrs.2010.2046330.
   Web of Science ®Google Scholar