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The Scientific World Journal
Volume 2013, Article ID 917928, 7 pages
Research Article

Aircraft Detection from VHR Images Based on Circle-Frequency Filter and Multilevel Features

Feng Gao,1,2 Qizhi Xu,1,2 and Bo Li1,2

1Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China
2State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China

Received 16 July 2013; Accepted 7 August 2013

Academic Editors: S. Bourennane, C. Fossati, and J. Marot

Copyright © 2013 Feng Gao 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 [4 citations]

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

  • Paul Kidwell, Kofi Boakye, Paul Kidwell, and Kofi Boakye, “Object Detection in Low Resolution Overhead Imagery,” 2015 IEEE Winter Applications and Computer Vision Workshops, pp. 21–27, . View at Publisher · View at Google Scholar
  • Wenjie Zhang, Wu Lv, Yifei Zhang, Jinwen Tian, and Jie Ma, “Unsupervised-learning airplane detection in remote sensing images,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 9815, 2015. View at Publisher · View at Google Scholar
  • Sakthivel, Dhayalan, Saleem Babu, and Senthil Murugan, “Robust aircraft recognition using high resolution reconstructed images,” Indian Journal of Science and Technology, vol. 9, no. 3, pp. 1–4, 2016. View at Publisher · View at Google Scholar
  • Bin Pan, Jianhao Tai, Qi Zheng, and Shanshan Zhao, “Cascade Convolutional Neural Network Based on Transfer-Learning for Aircraft Detection on High-Resolution Remote Sensing Images,” Journal of Sensors, vol. 2017, pp. 1–14, 2017. View at Publisher · View at Google Scholar