A Fusion Method of Interesting Targets Detection
Authors
Lianpeng Guo, Wanpeng Xu, Xiangning Chen, Aifang Guo, Xingguo Zhao
Corresponding Author
Lianpeng Guo
Available Online July 2015.
- DOI
- 10.2991/icismme-15.2015.249How to use a DOI?
- Keywords
- D-S theory; Shelter detection; Image registration.
- Abstract
A fusion method of shelter targets detection is proposed in this paper based on the D-S theory. Firstly, combining the features of position and the strong echo character of shelters on the SAR (Synthetic Aperture Radar) image, the shelter targets can be recognized. Then, using the character of shape, this paper can recognize the shelters targets on the optical image after registration with the SAR image. In the end, this paper uses the D-S theory fusing the detection results of the SAR image and the optical image. The results show that this method can recognize the shelters accurately combining the advantages of the SAR image and the optical image.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lianpeng Guo AU - Wanpeng Xu AU - Xiangning Chen AU - Aifang Guo AU - Xingguo Zhao PY - 2015/07 DA - 2015/07 TI - A Fusion Method of Interesting Targets Detection BT - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy PB - Atlantis Press SP - 1171 EP - 1174 SN - 1951-6851 UR - https://doi.org/10.2991/icismme-15.2015.249 DO - 10.2991/icismme-15.2015.249 ID - Guo2015/07 ER -