Object detection in remote sensing images based on one-class classification - Archive ouverte HAL Access content directly
Conference Papers Year :

Object detection in remote sensing images based on one-class classification

, , (1) , , , (2)
1
2
Tian Wang
  • Function : Author
Yang Chen
  • Function : Author
Meina Qiao
  • Function : Author
Aichun Zhu
  • Function : Author
Ziyu Wang
  • Function : Author

Abstract

For remote sensing image understanding, target detection is one of the most important tasks. In this paper, we propose one object detection method based on region proposal detection via active contour model and detection based on one-class classification method. The large scale remote sensing image is split into several connected components. And then, the proposed algorithm detects the object from the background. The proposed algorithm has been tested on several scenes of real unmanned aerial vehicle image datasets, and achieves promising results.
Not file

Dates and versions

hal-03320741 , version 1 (16-08-2021)

Identifiers

Cite

Tian Wang, Yang Chen, Meina Qiao, Aichun Zhu, Ziyu Wang, et al.. Object detection in remote sensing images based on one-class classification. 2017 Chinese Automation Congress (CAC), Oct 2017, Jinan, China. pp.6583-6587, ⟨10.1109/CAC.2017.8243963⟩. ⟨hal-03320741⟩
9 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More