Electro-optical sensor systems are fairly commonplace on naval vessels. However, these sensor systems are usually
implemented as stand-alone systems or are minimally integrated in shipboard combat management systems, and
are mostly used as secondary sensors. Therefore, it is difficult to include these systems in generic command and
control concepts; on board they remain an operator aid at best. To facilitate integration in the future, this paper
proposes a model of a warship with only EO sensors as its primary sensor suite. The question of whether such
a ship is sufficiently capable in a modern naval theater is addressed, as well as specific sensor design challenges
and the command and control concepts needed in order to maximize the performance of the proposed vessel.
In the context of naval surveillance, shipboard Electro-Optical (EO) sensor systems can contribute to the detection,
classification and identification of surface objects. Focusing on the detection process, our previous research
offers a method using low-order polynomials for background estimation, which can be used for the automatic
detection of objects in a naval environment. The polynomials are fitted to the intensity values in the image after
which the deviation between the fitted intensity values and the measured intensity values are used for detection.
The research presented in this paper, focuses on the impact of super-resolution algorithms on this detection
process. Images enhanced by SR algorithms are expected to be mainly beneficial for classification purposes,
regardless whether the classification is automatic or operator driven. This paper analyses the influence of SR
algorithms on the detection performance in relation to the increase of computational complexity. The performance
of the detection approach is tested on extensive dataset of maritime pictures in the Mediterranean Sea
and in the North Sea collected on board of a frigate. We have found that for a good super-resolution image in
this environment the sensor should be stabilised while recording and, for fast or near objects or when recording
in heavier weather, should have a high frame rate and/or low exposure times.
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