1,141
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Automatic detection of beacon towers in historical aerial images using improved FCOS

, , &
Pages 1089-1113 | Received 24 Aug 2022, Accepted 24 Jan 2023, Published online: 01 Mar 2023

References

  • Arthur, D., and S. Vassilvitskii. 2007. “K-Means++: The Advantages of Careful Seeding.” Paper presented at the Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007, New Orleans, Louisiana, USA, January 7-9, 2007.
  • Bewley, R., and D. Kennedy. 2013. Historical Aerial Imagery in Jordan and the Wider Middle East. In Archaeology from Historical Aerial and Satellite Archives, edited byW. Hanson, and I. Oltean, 221–242. New York: Springer NewYork Heidelberg Dordrecht London.
  • Bochkovskiy, A., C.Y. Wang, and H.Y. Mark Liao. 2020. “Yolov4: Optimal Speed and Accuracy of Object Detection.” arXiv preprint arXiv:2004.10934.
  • Bodla, N., B. Singh, R. Chellappa, and L. S. Davis. 2017. “Improving Object Detection with One Line of Code.” arXiv preprint arXiv:1704.04503.
  • Cai, Z., and N. Vasconcelos. 2018. “Cascade R-Cnn: Delving into High Quality Object Detection.” Paper presented at the Proceedings of the IEEE conference on computer vision and pattern recognition, Salt Lake City, UT, USA.
  • Casana, J. 2013. “Radial Route Systems and Agro-Pastoral Strategies in the Fertile Crescent: New Discoveries from Western Syria and Southwestern Iran.” Journal of Anthropological Archaeology 32 (2): 257–273. doi:10.1016/j.jaa.2012.12.004.
  • Chen, F., R. Zhou, T. Van de Voorde, X. Chen, J. Bourgeois, W. Gheyle, R. Goossens, J. Yang, and X. Wenbo. 2021. “Automatic Detection of Burial Mounds (Kurgans) in the Altai Mountains.” Isprs Journal of Photogrammetry and Remote Sensing 177: 217–237. doi:10.1016/j.isprsjprs.2021.05.010.
  • Comfort, A. 1997. “Satellite Remote Sensing and Archaeological Survey on the Euphrates.” ARCHAEOLOGICAL COMPUTING NEWSLETTER 1 (48): 1–8.
  • Deroin, J. P., R. Bou Kheir, and C. Abdallah. 2017. “Geoarchaeological Remote Sensing Survey for Cultural Heritage Management. Case Study from Byblos (Jbail, Lebanon).” Journal of Cultural Heritage 23: 37–43. doi:10.1016/j.culher.2016.04.014.
  • Feng, C., Y. Zhong, Y. Gao, M. R. Scott, and W. Huang. 2021. “Tood: Task-Aligned One-Stage Object Detection.” Paper presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, Canada.
  • Fowler, M. J. 1996. “High-Resolution Satellite Imagery in Archaeological Application: A Russian Satellite Photograph of the Stonehenge Region.” Antiquity 70 (269): 667–671. doi:10.1017/S0003598X00083812.
  • Fowler, M. J. 2013. “Declassified Intelligence Satellite Photographs.“ In Archaeology from Historical Aerial and Satellite Archives, edited byW. Hanson, and I. Oltean, 47–66. New York: Springer NewYork Heidelberg Dordrecht London.
  • García, C., J. Manuel, J. Fonte, A. Menéndez Blanco, D. González Álvarez, M. Gago Mariño, R. Blanco Rotea, and V. Álvarez Martínez. 2016. “Roman Military Settlements in the Northwest of the Iberian Peninsula. The Contribution of Historical and Modern Aerial Photography, Satellite Imagery and Airborne LiDar.” AARGnews: The Newsletter of the Aerial Archaeology Research Group 52: 43–51.
  • Hammer, E., and U. Jason. 2019. “Near Eastern Landscapes and Declassified U2 Aerial Imagery.” Advances in Archaeological Practice 7 (2): 107–126. doi:10.1017/aap.2018.38.
  • Hammer, E., R. Seifried, K. Franklin, and A. Lauricella. 2018. “Remote Assessments of the Archaeological Heritage Situation in Afghanistan.” Journal of Cultural Heritage 33: 125–144. doi:10.1016/j.culher.2017.12.008.
  • Huanhuan, L., and W. Song. 2019. “Expansion of Rural Settlements on High-Quality Arable Land in Tongzhou District in Beijing, China.” Sustainability 11: 5153. doi:10.3390/su11195153.
  • Kartal, M., and O. Duman. 2019. “Ship Detection from Optical Satellite Images with Deep Learning.” Paper presented at the 2019 9th International Conference on Recent Advances in Space Technologies (Rast), Istanbul, Turkey.
  • Lin, T. Y., P. Dollar, R. Girshick, K. He, B. Hariharan, and S. Belongie. 2017. “Feature Pyramid Networks for Object Detection.” Paper presented at the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA.
  • Lin, T. Y., P. Goyal, R. Girshick, K. He, and P. Dollár. 2017. “Focal Loss for Dense Object Detection.” IEEE Transactions on Pattern Analysis & Machine Intelligence PP PP 99: 2999–3007.
  • Ministry of Culture and Tourism of the People’s Republic of China, The Great Wall Conservation Master Plan. 2019. Overview and Value Connotation. In The Great Wall Conservation Master Plan, edited byThe Chinese National Cultural Heritage Administration. Beijing: Ministry of Culture and Tourism of the People’s Republic of China and the Chinese National Cultural Heritage Administration.
  • Ok, A. O., C. Senaras, and B. Yuksel. 2013. “Automated Detection of Arbitrarily Shaped Buildings in Complex Environments from Monocular VHR Optical Satellite Imagery.” IEEE Transactions on Geoscience and Remote Sensing 51 (3): 1701–1717. doi:10.1109/TGRS.2012.2207123.
  • Orengo, H. A., F. C. Conesa, A. Garcia-Molsosa, A. Lobo, C. A. Petrie, M. Madella, and C. A. Petrie. 2020. “Automated Detection of Archaeological Mounds Using Machine-Learning Classification of Multisensor and Multitemporal Satellite Data.” Proceedings of the National Academy of Sciences 117 (31): 18240–18250. doi:10.1073/pnas.2005583117.
  • Redmon, J., and A. Farhadi. 2018. “Yolov3: An Incremental Improvement.” arXiv preprint arXiv:1804.02767.
  • Rosa, L., and N. Masini. 2011. “Satellite Remote Sensing in Archaeology: Past, Present and Future Perspectives.” Journal of Archaeological Science 38: 1995–2002. doi:10.1016/j.jas.2011.02.002.
  • Sarah, P., M. Gregory, and C. Chase. 2017. “Using Open Access Satellite Data Alongside Ground Based Remote Sensing: An Assessment, with Case Studies from Egypt’s Delta.” Geosciences 7 (4): 94. doi:10.3390/geosciences7040094.
  • Saunders, N. J. 2009. “Ulysses’ Gaze: The Panoptic Premise in Aerial Photography and Great War Archaeology.“ In Images of Conflict: Military Aerial Photography and Archaeology, edited byB. Stichelbaut, J. Bourgeois, N. Saunders, and P. Chielens, 27–40. Newcastle: Cambridge Scholars Publishing.
  • Schuetter, J., P. Goel, J. McCorriston, J. Park, M. Senn, and M. Harrower. 2013. “Autodetection of Ancient Arabian Tombs in High-Resolution Satellite Imagery.” International Journal of Remote Sensing 34 (19): 6611–6635. doi:10.1080/01431161.2013.802054.
  • Soroush, M., K. Ur, E. Khazraee, and J. A. Ur. 2020. “Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq.” Remote Sensing 12 (3): 500. doi:10.3390/rs12030500.
  • Starková, L. 2020. “Toward a High-Definition Remote Sensing Approach to the Study of Deserted Medieval Cities in the Near East.” Geosciences 10: 10. doi:10.3390/geosciences10090369.
  • Tan, M., R. Pang, and Q. V. Le. 2020. “EfficientDet: Scalable and Efficient Object Detection.” Paper presented at the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA.
  • Tian, Z., C. Shen, H. Chen, and T. He. 2019. “FCOS: Fully Convolutional One-Stage Object Detection.” Paper presented at the 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South).
  • Watanabe, N., S. Nakamura, B. Liu, and N. Wang. 2017. “Utilization of Structure from Motion for Processing CORONA Satellite Images: Application to Mapping and Interpretation of Archaeological Features in Liangzhu Culture, China.” Archaeological Research in Asia 11: 38–50. doi:10.1016/j.ara.2017.06.001.
  • Wu, H., H. Zhang, J. Zhang, and F. Xu. 2015. “Fast Aircraft Detection in Satellite Images Based on Convolutional Neural Networks.” Paper presented at the 2015 IEEE International Conference on Image Processing (ICIP), Long Beach, CA, USA.
  • Xuehui, Y., Y. Gong, N. Jiang, Y. Qixiang, and Z. Han. 2020. “Scale Match for Tiny Person Detection.” Paper presented at the Proceedings of the IEEE/CVF winter conference on applications of computer vision, Snowmass, CO, USA.
  • Yan, L., Y. Zhang, and L. Zhe. 2011. “The Non-Linear Nature of the Great Wall: Research on the Stratified System of Military Settlements Along the Great Wall Under the Wei-Suo System of Ming Dynasty.” New Architecture 03: 118–121.
  • Zhang, Z. 2013. The Great Wall Collection of Real Records of the Ming Dynasty. Vol. 196. Ningxia: Ningxia people’s Publishing House.
  • Zhang, H., M. Cisse, Y. N. Dauphin, and D. Lopez-Paz. 2017. “Mixup: Beyond Empirical Risk Minimization.” arXiv preprint arXiv:1710.09412.
  • Zhu, X., H. Hu, S. Lin, and J. Dai. 2019. “Deformable ConvNets V2: More Deformable, Better Results.” Paper presented at the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA.