the major aim of processing satellite images is to prepare topical and effectivemaps. the selection of appropriate classification methods plays an important role. amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. in present study, tm images of 1987, and etm+ images of 2000 and 2006were analyzed using artificial fuzzy artmap neural netwo...

Increase in the scientific disciplines has caused large data collections as important community resources. The volume of interesting data is already measured in terabytes and will soon total in peta-bytes. This research proposal presents the issue of processing massive amount of satellite data. A single LEO satellite sends around 2 GB of data in 24 hours of a day. To process this huge amount of...

The management of distributed satellite systems requires the coordination of a large number of heterogeneous spacecraft. Task allocation in such a system is complicated by limited communication and individual satellite dynamics. Previous work has shown that task allocation using a market-based mechanism can provide scalable and efficient management of static networks; in this paper we extend th...

e management of distributed satellite systems requires the coordination of a large number of heterogeneous spacecraft. Task allocation in such a system is complicated by limited communication and individual satellite dynamics. Previous work has shown that task allocation using a market-based mechanism can provide scalable and efficient management of static networks; in this paper we extend thi...

Delay-tolerant networking (DTN) offers a novel architecture that can be used to enhance store-carry-forward routing in satellite networks. Since these networks take advantage of scheduled contact plans, distributed algorithms like the Contact Graph Routing (CGR) utilized optimize data delivery performance. However, despite numerous improvements made CGR, there is lack proposals prioritize traff...

In many areas of Earth science, including climate change research and operational oceanography, there is a need for near real-time integration of data from heterogeneous and spatially distributed sensors, in particular in-situ and spacebased sensors. The data integration, as provided by a smart sensor web, enables numerous improvements, namely, 1) adaptive sampling for more efficient use of exp...

In this paper we present a multi-criterion control simulation in a realistically complex environment of a satellite network, involving non-symmetric up and downlinks. Direct Broadcast Satellite (DBS) networks carrying heterogeneous traffic is characterized with challenges, such as high traffic burstiness, wireless channel dynamics, and large, but limited capacity. On the other hand, there are s...