[WSS18] Rooftop Recognition for Solar Energy Potential - Online Technical Discussion Groups--Wolfram Community

The aim of this project is to detect the rooftop of buildings to determine the available area at different locations and to identify the most suitable ones for solar energy application such as solar PV using Neural Networks and satellite imagery. The Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery. The first approach to organize the data was to make MX files, one per image, each file contain the 100 images with their respective mask. In order to do that a function mxFileCreator was build. The net selected for this project was at Wolfram Neural Net Repository for Semantic Segmentation.