473
Views
19
CrossRef citations to date
0
Altmetric
Research Article

Learning a robust CNN-based rotation insensitive model for ship detection in VHR remote sensing images

&
Pages 3614-3626 | Received 04 Jul 2019, Accepted 07 Oct 2019, Published online: 09 Jan 2020

References

  • Bi, N., J. Chen, and J. Tan. 2019. “The Handwritten Chinese Character Recognition Uses Convolutional Neural Networks with the GoogLeNet.” International Journal of Pattern Recognition and Artificial Intelligence 33: 11. doi:10.1142/S0218001419400160.
  • Bodla, N., B. Singh, R. Chellappa, and L. Davis. 2017. “Improving Object Detection with One Line of Code.” arXiv. arXiv:1704.04503[cs.CV].
  • Cheng, G., P. Zhou, and J. Han. 2016. “Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images.” IEEE Transactions on Geoscience and Remote Sensing 54 (12): 7405–7415. doi:10.1109/tgrs.2016.2601622.
  • Deng, Z., H. Sun, S. Zhou, J. Zhao, L. Lei, and H. Zhou. 2018. “Multi-Scale Object Detection in Remote Sensing Imagery with Convolutional Neural Networks.” ISPRS Journal of Photogrammetry and Remote Sensing 145: 3–22. doi:10.1016/j.isprsjprs.2018.04.003.
  • Krizhevsky, A., L. Sutskever, and G. Hinton. 2012. “ImageNet Classification with Deep Convolutional Neural Networks.” Proceeding. NIPS 1: 1097–1105. doi:10.1145/3065386.
  • Li, S., Z. Zhang, B. Li, and C. Li. 2018. “Multiscale Rotated Bounding Box-Based Deep Learning Method for Detecting Ship Targets in Remote Sensing Images.” Sensors 18 (8): 2702. doi:10.3390/s18082702.
  • Lin, G. J., M. Yang, J. Yang, L. Shen, and W. Xie. 2018. “Robust, Discriminative and Comprehensive Dictionary Learning for Face Recognition.” Pattern Recognition 81: 341–356. doi:10.1016/j.patcog.2018.03.021.
  • Liu, L., Z. Pan, and B. Lei. 2017b. “Learning a Rotation Invariant Detector with Rotatable Bounding Box.” arXiv. arXiv:1711.09405 [cs.CV].
  • Liu, W., D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Fu, and A. Berg. 2016a. “SSD: Single Shot MultiBox Detector.” European Conference on Computer Vision 21–37. Amsterdam, The Netherlands. doi:10.1007/978-3-319-46448-0_2.
  • Liu, W., L. Ma, and H. Chen. 2018. “Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images.” IEEE Geoscience and Remote Sensing Letters 15 (6): 937–941. doi:10.1109/lgrs.2018.2813094.
  • Liu, Z., J. Hu, L. Weng, and Y. Yang. 2017a. “Rotated Region Based CNN for Ship Detection.” IEEE International Conference on Image Processing (ICIP) 900–904. Beijing, China. doi:10.1109/icip.2017.8296411.
  • Liu, Z. K., H. Wang, L. Weng, and Y. 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.
  • Long, Y., Y. Gong, Z. Xiao, and Q. Liu. 2017. “Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks.” IEEE Transactions on Geoscience and Remote Sensing 55 (5): 2486–2498. doi:10.1109/TGRS.2016.2645610.
  • Ma, J., W. Shao, H. Ye, L. Wang, H. Wang. 2018. “Arbitrary-oriented Scene Text Detection via Rotation Proposals.” IEEE Transactions on Multimedia 20 (11): 3111–3122. doi:10.1109/TMM.2018.2818020.
  • Park, D., Y. Seo, and S. Chun. 2018. “Rotation Ensemble Module for Detecting Rotation-Invariant Features.” arXiv. arXiv:1812.07762v1 [cs.CV].
  • Qiu, S. H., G. Wen, Z. Deng, J. Liu, and Y. Fan. 2018. “Accurate Non-maximum Suppression for Object Detection in High-resolution Remote Sensing Images.” Remote Sensing Letters 9 (3): 238–247. doi:10.1080/2150704X.2017.1415473.
  • Redmon, J., S. Divvala, R. Girshick, and A. Farhadi. 2016. “You Only Look Once: Unified, Real-Time Object Detection.” 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 779–788. Las Vegas, USA. doi:10.1109/cvpr.2016.91.
  • Redmon, J., and A. Farhadi. 2018. “YOLOv3: An Incremental Improvement.” arXiv. arXiv:1804.02767 [cs.CV].
  • Ren, S., K. He, R. Girshick, and J. Sun. 2017. “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (6): 1137–1149. doi:10.1109/tpami.2016.2577031.
  • Ren, Y., C. Zhu, and S. Xiao. 2018. “Small Object Detection in Optical Remote Sensing Images via Modified Faster R-CNN.” Applied Sciences 8 (5): 813. doi:10.3390/app8050813.
  • Shahzad, M., M. Maurer, Y. Wang, and X. Zhu. 2018. “Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks.” IEEE Transactions on Geoscience and Remote Sensing 57 (2): 1100–1116. doi:10.1109/tgrs.2018.2864716.
  • Tang, T., S. Zhou, Z. Deng, L. Lei, and H. Zhou. 2017. “Arbitrary-oriented Vehicle Detection in Aerial Imagery with Single Convolutional Neural Networks.” Remote Sensing 9 (11): 1170. doi:10.3390/rs9111170.
  • Xia, G., X. Bai, J. Ding, Z. Zhu, S. Belongie, J. Luo, and L. Zhang. 2018. “DOTA: A Large-Scale Dataset for Object Detection in Aerial Images.” 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 3974–3983. Salt Lake City, USA. doi:10.1109/cvpr.2018.00418.
  • Yang, X., H. Sun, K. Fu, J. Yang, X. Sun, M. 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): 132. doi:10.3390/rs10010132.
  • Yang, X., H. Sun, X. Sun, M. Yan, Z. Guo, and K. Fu. 2018a. “Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network.” IEEE Access 6: 50839–50849. doi:10.1109/access.2018.2869884.
  • Yann, L. C., Y. Bengio, and G. Hinton. 2015. “Deep Learning.” Nature 521 (7553): 436–444. doi:10.1038/nature14539.
  • Yao, C., X. Bai, W. Liu, Y. Ma, and Z. Tu. 2012. “Detecting Texts of Arbitrary Orientations in Natural Images.” 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1083–1090. Providence, USA. doi:10.1109/CVPR.2012.6247787.
  • Zhang, S., G. He, H. Chen, N. Jing, and Q. Wang. 2019a. “Scale Adaptive Proposal Network for Object Detection in Remote Sensing Images.” IEEE Geoscience and Remote Sensing Letters 16 (6): 864–868. doi:10.1109/lgrs.2018.2888887.
  • Zhang, Z., W. Guo, S. Zhu, and W. Yu. 2018. “Toward Arbitrary-Oriented Ship Detection with Rotated Region Proposal and Discrimination Networks.” IEEE Geoscience and Remote Sensing Letters 15 (11): 1145–1149. doi:10.1109/lgrs.2018.2856921.
  • Zhang, Z. X., X. Chen, J. Liu, and K. Zhou. 2019b. “Rotated Feature Network for Multi-orientation Object Detection.” arXiv. arXiv:1903.09839 [cs.CV].
  • Zhao, J. P., W. Guo, Z. Zhang, and W. Yu. 2019a. “A Coupled Convolutional Neural Network for Small and Densely Clustered Ship Detection in SAR Images.” Science China Information Sciences 62: 42301. doi:10.1007/s11432-017-9405-6.
  • Zhao, Z. Q., P. Zheng, S. Xu, and X. Wu. 2019b. “Object Detection With Deep Learning: A Review.” IEEE Transactions on Neural Networks and Learning Systems 30 (11): 3212–3232. doi:10.1109/tnnls.2018.2876865.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.