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The Scientific World Journal
Volume 2014, Article ID 171978, 11 pages
Research Article

BgCut: Automatic Ship Detection from UAV Images

1School of Computer Software, Tianjin University, Tianjin 300072, China
2Space Star Technology Co., Ltd., Beijing 100086, China

Received 30 August 2013; Accepted 10 March 2014; Published 3 April 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Chao Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Zhaoxin Li, Kuanquan Wang, Wenyan Jia, Hsin-Chen Chen, Wangmeng Zuo, Deyu Meng, and Mingui Sun, “Multiview stereo and silhouette fusion via minimizing generalized reprojection error,” Image And Vision Computing, vol. 33, pp. 1–14, 2015. View at Publisher · View at Google Scholar
  • Chao Xu, Zeping Lu, Guangquan Xu, Zhiyong Feng, Hongyan Tan, and Haifeng Zhang, “3D Reconstruction of Tree-Crown Based on the UAV Aerial Images,” Mathematical Problems in Engineering, vol. 2015, pp. 1–8, 2015. View at Publisher · View at Google Scholar
  • Aleksey Vladimirovich Dolgopolov, Pavel Aleksandrovich Kazantsev, and Nikolay Nikolaevich Bezuhliy, “Ship detection in images obtained from the unmanned aerial vehicle (uav),” Indian Journal of Science and Technology, vol. 9, no. 46, pp. 1–7, 2016. View at Publisher · View at Google Scholar
  • Fang Xu, Jinghong Liu, Mingchao Sun, Dongdong Zeng, and Xuan Wang, “A Hierarchical Maritime Target Detection Method for Optical Remote Sensing Imagery,” Remote Sensing, vol. 9, no. 3, pp. 280, 2017. View at Publisher · View at Google Scholar
  • Ziqiang Yuan, Jing Geng, and Tianru Dai, “Ship Detection from Remote Sensing Images Based on Deep Learning,” Geo-Spatial Knowledge and Intelligence, vol. 848, pp. 336–344, 2018. View at Publisher · View at Google Scholar
  • Harm Greidanus, Krištof Oštir, and Urška Kanjir, “Vessel detection and classification from spaceborne optical images: A literature survey,” Remote Sensing of Environment, vol. 207, pp. 1–26, 2018. View at Publisher · View at Google Scholar