Geographic Information Systems users without appropriate programming skills perform repetitive tasks through Graphical User Interfaces when manipulating large datasets, such as remote sensing imagery. Scripting languages, such as Lua, make the process easier for those users, due to their higher abstraction and simplicity, than the more complex programming languages such as C or C++. Based on that, this paper describes a high-level, open source programming environment for remote sensing image processing. We present a Lua API (Application Programming Interface) that provides image processing functions of the geospatial library TerraLib. This API allows users to easily and efficiently create new algorithm prototype for remote sensing images using the high-level programming language Lua. To demonstrate this API, we show an application to fill gaps in Landsat-7 images using a multiscale segmentation approach.

Elastic optical networks, Routing and spectrum assignment, Blocking probability.

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