21 July 2017 CNN based aircraft dynamic monitoring through remote sensing images
Author Affiliations +
Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104203E (2017) https://doi.org/10.1117/12.2281745
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
In military fields, it is essential to monitor the dynamic of aircrafts through remote sensing images. Due to lack of automated assistive analysis methods of recent works, we propose a novel method for automatically monitoring the dynamic of aircrafts through remote sensing images in this paper. The method consists of two phases: (i) establish a priori model of aircrafts in airports and learn a Convolutional Neural Networks (CNN) classifier that identifies the state of aircrafts, and (ii) predict the states of aircrafts in the new images. The proposed method was tested on the remote sensing images of two typical airports. Experimental results show that the method is able to monitor the dynamic of aircrafts with high accuracy. We conclude that the method can report the states of aircrafts in airports correctly.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xudong Sui, Xiaohui Hu, Jinfang Zhang, "CNN based aircraft dynamic monitoring through remote sensing images", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104203E (21 July 2017); doi: 10.1117/12.2281745; https://doi.org/10.1117/12.2281745
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Subpixel imaging technique
Proceedings of SPIE (November 24 1999)
Effluent detection: spectral aggregation trade study
Proceedings of SPIE (July 16 1999)
Fiber probes for near- and mid-infrared spectroscopy
Proceedings of SPIE (December 31 1993)
Wetland resources investigation based on 3S technology
Proceedings of SPIE (November 03 2008)

Back to Top