Change detection analysis on satellite imagery using open source
Student name: Mr Kanwal Nayan Singh
Guide: Dr P K Joshi
Year of completion: 2013
Host Organisation: TERI University
Abstract: This study explores the strengths of the R with .NET Framework, the R programming software is developed as a
statistical software but now it is not limited to the statistics it as good as any enterprise software which is made
for data processing, data analysis, data mining and geostatics and many other feature which left unexplored in
this study. This study explains how R programming language can be used for raster data analysis and
processing heavy data in few lines of codes depends on the results and I/O operation which users wants, the R is
not limited to this only it is also oable to create GUI for its code because of its some limitations and other
reasons the .NET Framework has been used to create a GUI for the end user to interact with, those who are not
interested in programming and are not able to create and use lines of codes. In this study we have concluded
that how .NET Framework feature runtime environment in which .NET framework is able to execute any
programming code with the command line interface of the coding language in which programming has been
done, here we are executing RScript on the runtime environment of .NET on the event occurred by the user,
which is just on clicking of button. This study proves that .NET is Multi language support, Multi device support,
Automatic Memory management, Ease of deployment and Configuration. The results which is getting by the R
environment it is know able to get in the .NET platform.
Keywords: GUI, R, .NET, I/O, runtime environment.
