Evaluating the Correlation between Thermal Signatures of UAV Video Stream versus Photomosaic for Urban Rooftop Solar Panels
| Autor: | Jung-Joo Lee, Jung-Sup Um, Stephan Schlüter, YoungSeok Hwang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Flight altitude
Science Thermal signature photomosaic urban rooftop solar panel video law.invention Video imaging co-relationship unmanned aerial vehicle (UAV) law Range (aeronautics) thermal signature Thermal Autopilot General Earth and Planetary Sciences Environmental science Noise (video) Rooftop photovoltaic power station Remote sensing |
| Zdroj: | Remote Sensing; Volume 13; Issue 23; Pages: 4770 Remote Sensing, Vol 13, Iss 4770, p 4770 (2021) |
| ISSN: | 2072-4292 |
| DOI: | 10.3390/rs13234770 |
| Popis: | The unmanned aerial vehicle (UAV) autopilot flight to survey urban rooftop solar panels needs a certain flight altitude at a level that can avoid obstacles such as high-rise buildings, street trees, telegraph poles, etc. For this reason, the autopilot-based thermal imaging has severe data redundancy—namely, that non-solar panel area occupies more than 99% of ground target, causing a serious lack of the thermal markers on solar panels. This study aims to explore the correlations between the thermal signatures of urban rooftop solar panels obtained from a UAV video stream and autopilot-based photomosaic. The thermal signatures of video imaging are strongly correlated (0.89–0.99) to those of autopilot-based photomosaics. Furthermore, the differences in the thermal signatures of solar panels between the video and photomosaic are aligned in the range of noise equivalent differential temperature with a 95% confidence level. The results of this study could serve as a valuable reference for employing video stream-based thermal imaging to urban rooftop solar panels. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |