Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Satellite Image target Detection Method Based on Multi Agent and Depth Neural Network and Fuzzy Clustering Camera

Authors
Lei Liu, Linli Zhou, Huifang Bao
Corresponding Author
Lei Liu
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.59How to use a DOI?
Keywords
Remote sensing image, target detection, multi-agent system, deep neural network, Fuzzy clustering
Abstract
Remote sensing images are valuable in civil and military applications. In this paper, we propose a remote sensing image target detection method based on a multi-agent system and the deep neural network. The proposed method extracts and fuses the intensity, texture, edges, and the structures in collaboration and parallization, and it provides theoretical and technical supports for real target detection applications.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.59How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lei Liu
AU  - Linli Zhou
AU  - Huifang Bao
PY  - 2016/07
DA  - 2016/07
TI  - Satellite Image target Detection Method Based on Multi Agent and Depth Neural Network and Fuzzy Clustering Camera
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 347
EP  - 351
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.59
DO  - https://doi.org/10.2991/iccia-17.2017.59
ID  - Liu2016/07
ER  -