In today's naval missions, such as anti-piracy or counter-drugs operations, Electro-Optical (EO) sensors play an
increasingly important role. In particular, these sensors are essential for classification and identification of targets.
These tasks are traditionally performed by human operators, but because the complexity of today's missions,
in combination with reduced manning, automating the information processing of EO sensors is increasingly
necessary. This paper discusses the contribution of EO sensor systems to the picture compilation process,
and how the deployment of EO sensors can be optimized for current naval missions. In particular, we discuss
automation techniques for detection, classification and identification using EO sensors. Based on our findings,
we give recommendations for future research.