دورية أكاديمية
Methodology for the Automated Visual Detection of Bird and Bat Collision Fatalities at Onshore Wind Turbines
| العنوان: | Methodology for the Automated Visual Detection of Bird and Bat Collision Fatalities at Onshore Wind Turbines |
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| المؤلفون: | Christof Happ, Alexander Sutor, Klaus Hochradel |
| المصدر: | Journal of Imaging, Vol 7, Iss 12, p 272 (2021) |
| بيانات النشر: | MDPI AG, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | bird, bat, automatic fatality detection, camera system, NIR, LWIR, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | The number of collision fatalities is one of the main quantification measures for research concerning wind power impacts on birds and bats. Despite being integral in ongoing investigations as well as regulatory approvals, the state-of-the-art method for the detection of fatalities remains a manual search by humans or dogs. This is expensive, time consuming and the efficiency varies greatly among different studies. Therefore, we developed a methodology for the automatic detection using visual/near-infrared cameras for daytime and thermal cameras for nighttime. The cameras can be installed in the nacelle of wind turbines and monitor the area below. The methodology is centered around software that analyzes the images in real time using pixel-wise and region-based methods. We found that the structural similarity is the most important measure for the decision about a detection. Phantom drop tests in the actual wind test field with the system installed on 75 m above the ground resulted in a sensitivity of 75.6% for the nighttime detection and 84.3% for the daylight detection. The night camera detected 2.47 false positives per hour using a time window designed for our phantom drop tests. However, in real applications this time window can be extended to eliminate false positives caused by nightly active animals. Excluding these from our data reduced the false positive rate to 0.05. The daylight camera detected 0.20 false positives per hour. Our proposed method has the advantages of being more consistent, more objective, less time consuming, and less expensive than manual search methods. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2313-433X |
| Relation: | https://www.mdpi.com/2313-433X/7/12/272; https://doaj.org/toc/2313-433X |
| DOI: | 10.3390/jimaging7120272 |
| URL الوصول: | https://doaj.org/article/79e911381c2b482e9a283af566fc00e0 |
| رقم الأكسشن: | edsdoj.79e911381c2b482e9a283af566fc00e0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2313433X |
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| DOI: | 10.3390/jimaging7120272 |