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

DOI

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.

Copyright

© 2017, 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/).

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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  - Proceedings of the 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  - 10.2991/iccia-17.2017.59
ID  - Liu2016/07
ER  -