Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...

Many planned Earth observation satellite missions use distributed satellite systems in constellation or cluster orbits instead of one, large satellite with many instruments. This network of satellites and ground stations allows data to be efficiently downlinked. However, to create a networking protocol for constellations of small Earth observing satellites, several limitations need to be addres...

Bringing together a number of cutting-edge technologies that range from storing extremely large volumesof data all the way to developing scalable machine learning and deep algorithms in distributed manner, having them operate over same infrastructure poses unprecedentedchallenges. One these challenges is integration European Space Agency (ESA)s Thematic Exploitation Platforms (TEPs) information...

The recent rapid evolution of new satellite services, including VSAT for internet access, LAN interconnection and multimedia applications, has triggered an increasing demand for bandwidth usage by satellite communications. However, these systems are susceptible to propagation effects that become significant as the frequency increases. Scintillation is the rapid signal fluctuation of the amplitu...