Automatic detection and analysis of photovoltaic modules in aerial infrared imagery
DEC 28, 2016 16:47 PM
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Automatic detection and analysis of photovoltaic modules in aerial infrared imagery

Automatic detection and analysis of photovoltaic modules in aerial infrared imagery

Sergiu Dotenco, Department of Computer Science, Nuremberg Institute of Technology, Nuremberg, Germany
Manuel Dalsass, ZAE Bayern, Germany
Ludwig Winkler, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
Tobias Wurzner, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
Christoph Brabec, ZAE Bayern, Germany
Andreas Maier, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
Florian Gallwitz, Department of Computer Science, Nuremberg Institute of Technology, Nuremberg, Germany

Aerial thermography is a convenient tool for locating defective modules and cells in large photovoltaic-power plants. A new automatic detection approach can identify temperature abnormalities.

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