Searched for: subject%3A%22Ship%255C%2Bdetection%22
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Kurchaba, S. (author), van Vliet, J. (author), Verbeek, F.J. (author), Veenman, C.J. (author)
Starting from 2021, more demanding NOx emission restrictions were introduced for ships operating in the North and Baltic Sea waters. Since all methods currently used for ship compliance monitoring are financially and time demanding, it is important to prioritize the inspection of ships that have high chances of being non-compliant. The current...
article 2023
van der Stap, N. (author), van Opbroek, A.G. (author), Huizinga, W. (author), Wilmer, M.M.G. (author), van den Broek, S.P. (author), Pruim, R.H.R. (author), den Hollander, R.J.M. (author), Schutte, K. (author), Dijk, J. (author)
Detecting maritime targets with electro-optical sensors is an active area of research. One current trend is to automate target detection through image processing or computer vision. Automation of target detection will decrease the number of people required for lower-level tasks, which frees capacity for higher-level tasks. A second trend is that...
conference paper 2018
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