Searched for: subject%3A%22Automatic%255C%2BIdentification%255C%2BSystem%255C%2BAIS%22
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Maggi, F.M. (author), Mooij, A.J. (author), van der Aalst, W.M.P. (author)
In the maritime domain, electronic sensors such as AIS receivers and radars collect large amounts of data about the vessels in a certain geographical area. We investigate the use of process mining techniques for analyzing the behavior of the vessels based on these data. In the context of maritime safety and security, the goal is to support...
bookPart 2013
Smith, A.J.E. (author), Anitori, L. (author), Gabban, A. (author), Mallorqui, J. (author), TNO Defensie en Veiligheid (author)
About one year of coastal AIS (Automatic Identification System) data are analysed for vessel behaviour. The data are obtained from thousands of vessels along the Dutch North Sea coast including the entrance to the main port of Rotterdam. Vessel behaviour is described by a number of basic indicators that can be obtained directly from the AIS...
conference paper 2008
Smith, A.J.E. (author), Chesworth, J. (author), Greidanus, H. (author), TNO Defensie en Veiligheid (author)
A ship detection algorithm is developed that uses Envisat ASAR imagery in alternating polarisation mode. From airborne data it is shown that of the two co-polarisations, HH is preferred over VV because of a larger ship-to-clutter ratio. Combining the HH and HV images of alternating polarisation mode, it is found that the correlation between the...
conference paper 2005