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...

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...

Applications of artificial satellites in positioning and navigation can be traced back to as early as the 1960’s, just shortly after the launch of the first artificial satellite in 1957, when the era of satellite geodesy started. Over the past four decades, particularly since the inception of the Global Positioning System (GPS), satellite-based positioning techniques have been playing an increa...

It is shown that the plasma, generated during an impact of a meteoroid with an artificial satellite, can produce electromagnetic radiations below the microwave frequency range. These interferences can disturb the regular satellite operations. Pacs 96.50.Kr: Meteors and meteoroids. Pacs 52.50.Lp: Plasma production and heating by shock waves and compression. Pacs 95.40.+s: Artificial Earth Satell...

In order to measure precipitation as the main variable for estimating the runoff and designing hydraulic structures, the satellite algorithm products that have the proper spatial and temporal coverage, can be used. In this study, at first, the daily streamflow simulation of Sarough-Cahy River from the Zarinehroud basin was conducted through the artificial neural network (ANN) and ground data of...

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...

urban expansion model (uem) was adapted to simulate urbanization which implements geospatial information systems (gis), artificial neural networks (anns) and remote sensing (rs). two satellite imageries with specific time interval, socio-economic and environmental variables have been employed in order to simulate urban expansion. socio-economic and environmental variables were used as inputs wh...

A long time ago, since the launch of the first artificial satellite in 1957, controling attitude of satellites has been considered by the designers and engineers of aerospace industry. Considering the importance of this issue various methods of control in response to this need have been presented and analyzed until now. In this paper, we propose and analyze a three-axis optimal control on the s...