Forgery Detection in Meteorological Facsimile Maps via Intrinsic Features

DOI

10.2991/rsete.2013.57How to use a DOI?

Keywords

image forgery detection; meteorological facsimile map (MFM); intrinsic feature.

Abstract

This paper discusses the forgery detection problem in meteorological facsimile maps via the intrinsic features of these maps. Meteorological facsimile maps are of much importance to navigation in ocean. Once the meteorological facsimile maps are tampered, the safety of ships will be possibly greatly decreased because of possible disaster by execrable weather. We exploited the problem to detect the possible forgeries by the intrinsic features of meteorological facsimile maps such as binary value, fixed form, sparseness and rationally-developing weather system and so on. Experiments show that the forgeries can be detected effectively in meteorological facsimile maps via the proposed intrinsic features.

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/).

Download article (PDF)

TY  - CONF
AU  - Xiaotong Wang
AU  - Guanlei Xu
AU  - Da Yang
AU  - Yue Ma
PY  - 2013/08
DA  - 2013/08
TI  - Forgery Detection in Meteorological Facsimile Maps via Intrinsic Features
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 231
EP  - 234
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.57
DO  - 10.2991/rsete.2013.57
ID  - Wang2013/08
ER  -