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Forgery Detection in Meteorological Facsimile Maps via Intrinsic Features

Authors :
Xiaotong Wang
Guanlei Xu
Yue Ma
Da Yang
Source :
Proceedings of the 2013 International Conference on Remote Sensing,Environment and Transportation Engineering.
Publication Year :
2013
Publisher :
Atlantis Press, 2013.

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.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 2013 International Conference on Remote Sensing,Environment and Transportation Engineering
Accession number :
edsair.doi...........b93207693022d2c38966166a9b5cc10c
Full Text :
https://doi.org/10.2991/rsete.2013.57