Multi-evidence fusion recognition of ship targets in sea battlefield’s remote sensing images

DOI

10.2991/icmt-13.2013.209How to use a DOI?

Keywords

target recognition; Dempster-Shafer evidence; ship features; remote sensing image

Abstract

Reliably recognizing ship targets in the sea battlefield has become an increasingly pressing need, as the capabilities for image acquisition are growing rapidly. In the research, a modified ship targets fusion recognition model based on the Dempster-Shafer evidence theory is proposed. The algorithm firstly detects ship targets from the sea battlefield’s remote sensing image. Then extracts the multiple image features of these target candidate areas as the evidence to recognize the ship targets. Finally, recognizes the ship targets from the image using the Dempster-Shafer evidence theory based on multiple ship features, and sends the recognition result. Experiment show that this method can be used to reliably and effectively recognize targets information in the sea battlefield.

Copyright

© 2013, 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  - An Yu
AU  - Wang Xiaofei
AU  - Xia Xuezhi
AU  - Li Lin
PY  - 2013/11
DA  - 2013/11
TI  - Multi-evidence fusion recognition of ship targets in sea battlefield’s remote sensing images
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1720
EP  - 1727
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.209
DO  - 10.2991/icmt-13.2013.209
ID  - Yu2013/11
ER  -