Detecting ships in marine images is an essential problem in maritime surveillance systems. Although several types of deep neural networks have almost ubiquitously used for this purpose, but the performance of such networks greatly drops when they are exposed to low size and low contrast images which have been captured by passive monitoring systems. On the other hand factors such as sea waves, c...

We present a statistical analysis of freak waves1 measured during the 203 h of observation on sea surface elevation at a location in the coastal zone of the Baltic Sea (2.7 m depth) during June–July 2008. The dataset contains 97 freak waves occurring in both calm and stormy weather conditions. All of the freak waves are solitary waves, 63% of them having positive shape, 17.5% negative shape and...

Freak waves have the properties of strong nonlinearity and suddenness, which are often accompanied by extreme weather conditions. As an important environmental load, wind has a significant transient characteristic plays role in generation freak waves. In order to understand statistical under action wind, especially influence on waves, laboratory experiments were carried out. this paper, based B...