Roof Aerial Installation
Academic Editors: Fabio Remondino, Richard Müller and Prasad S. Thenkabail
a low-cost multi-sensor aerial system, aerial trike, designed with visible and thermographic sensors is used the acquisition of the many data required for the automated evaluation and category of roofing areas with regards to their particular suitability to harbor solar energy panels. The geometry of a georeferenced 3D point cloud generated from visible images using photogrammetric and computer system eyesight algorithms, while the conditions assessed on thermographic pictures are decisive to evaluate areas, tilts, orientations therefore the existence of obstacles to discover the optimal areas inside each roof area the installing of solar power panels. These records is complemented with all the estimation associated with the solar irradiation obtained by each surface. This way, big areas is efficiently examined getting as end result the perfect places for keeping of solar power panels along with the information necessary (place, orientation, tilt, area and solar power irradiation) to approximate the output of a solar panel from the technical characteristics.
MDPI and ACS Design
López-Fernández, L.; Lagüela, S.; Picón, I.; González-Aguilera, D. major automated testing and Classification of Roof Surfaces when it comes to Installation of solar energy panels Using a Multi-Sensor Aerial system. Remote Sens. 2015, , 8.View more citation platforms
López-Fernández L, Lagüela S, Picón I, González-Aguilera D. major automated research and Classification of Roof Surfaces for Installation of solar panel systems Using a Multi-Sensor Aerial system. Remote Sensing. 2015; 7(9):8.Chicago/Turabian Design
López-Fernández, Luis; Lagüela, Susana; Picón, Inmaculada; González-Aguilera, Diego. 2015. "Large Scale Automatic research and Classification of Roof Surfaces when it comes to Installation of Solar Panels Using a Multi-Sensor Aerial Platform." Remote Sens. 7, no. 9: 8.
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