This paper describes the time variant changes in satellite images using Self Organizing Feature Map (SOFM) technique associated with Artificial Neural Network. In this paper, we take a satellite image and find the time variant changes using above technique with the help of MATLAB. This paper reviews remotely sensed data analysis with neural networks. First, we present an overview of the main co...

In this paper the solution of an artificial satellite motion under the influence of the Earth’s gravitational field with axial symmetry of any conic section with zonal harmonics J2 in terms of Euler parameters is established. Applications of this method enable anyone to predict the motion of artificial satellites.

Geometric Dilution of Precision (GDOP) is a coefficient for constellations of Global Positioning System (GPS) satellites. These satellites are organized geometrically. Traditionally, GPS GDOP computation is based on the inversion matrix with complicated measurement equations. A new strategy for calculation of GPS GDOP is construction of time series problem; it employs machine learning and artif...

Health monitoring and anomaly detection techniques for artificial satellites are very significant, as it is very hard to repair those space systems on orbit. Authors have proposed the framework of learning-based anomaly detection that applies statistical machine learning and data mining techniques to the satellite telemetry data to automatically obtain normal behavior models which can be used f...