Yıl: 2023 Cilt: 8 Sayı: 3 Sayfa Aralığı: 212 - 223 Metin Dili: İngilizce DOI: 10.26833/ijeg.1107890 İndeks Tarihi: 03-07-2023

A benchmark dataset for deep learning-based airplane detection: HRPlanes

Öz:
Airplane detection from satellite imagery is a challenging task due to the complex backgrounds in the images and differences in data acquisition conditions caused by the sensor geometry and atmospheric effects. Deep learning methods provide reliable and accurate solutions for automatic detection of airplanes; however, huge amount of training data is required to obtain promising results. In this study, we create a novel airplane detection dataset called High Resolution Planes (HRPlanes) by using images from Google Earth (GE) and labeling the bounding box of each plane on the images. HRPlanes include GE images of several different airports across the world to represent a variety of landscape, seasonal and satellite geometry conditions obtained from different satellites. We evaluated our dataset with two widely used object detection methods namely YOLOv4 and Faster R-CNN. Our preliminary results show that the proposed dataset can be a valuable data source and benchmark data set for future applications. Moreover, proposed architectures and results of this study could be used for transfer learning of different datasets and models for airplane detection.
Anahtar Kelime: Airplane detection Deep learning YOLO Faster R-CNN Google Earth

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA Bakirman T, Sertel E (2023). A benchmark dataset for deep learning-based airplane detection: HRPlanes. , 212 - 223. 10.26833/ijeg.1107890
Chicago Bakirman Tolga,Sertel Elif A benchmark dataset for deep learning-based airplane detection: HRPlanes. (2023): 212 - 223. 10.26833/ijeg.1107890
MLA Bakirman Tolga,Sertel Elif A benchmark dataset for deep learning-based airplane detection: HRPlanes. , 2023, ss.212 - 223. 10.26833/ijeg.1107890
AMA Bakirman T,Sertel E A benchmark dataset for deep learning-based airplane detection: HRPlanes. . 2023; 212 - 223. 10.26833/ijeg.1107890
Vancouver Bakirman T,Sertel E A benchmark dataset for deep learning-based airplane detection: HRPlanes. . 2023; 212 - 223. 10.26833/ijeg.1107890
IEEE Bakirman T,Sertel E "A benchmark dataset for deep learning-based airplane detection: HRPlanes." , ss.212 - 223, 2023. 10.26833/ijeg.1107890
ISNAD Bakirman, Tolga - Sertel, Elif. "A benchmark dataset for deep learning-based airplane detection: HRPlanes". (2023), 212-223. https://doi.org/10.26833/ijeg.1107890
APA Bakirman T, Sertel E (2023). A benchmark dataset for deep learning-based airplane detection: HRPlanes. International Journal of Engineering and Geosciences, 8(3), 212 - 223. 10.26833/ijeg.1107890
Chicago Bakirman Tolga,Sertel Elif A benchmark dataset for deep learning-based airplane detection: HRPlanes. International Journal of Engineering and Geosciences 8, no.3 (2023): 212 - 223. 10.26833/ijeg.1107890
MLA Bakirman Tolga,Sertel Elif A benchmark dataset for deep learning-based airplane detection: HRPlanes. International Journal of Engineering and Geosciences, vol.8, no.3, 2023, ss.212 - 223. 10.26833/ijeg.1107890
AMA Bakirman T,Sertel E A benchmark dataset for deep learning-based airplane detection: HRPlanes. International Journal of Engineering and Geosciences. 2023; 8(3): 212 - 223. 10.26833/ijeg.1107890
Vancouver Bakirman T,Sertel E A benchmark dataset for deep learning-based airplane detection: HRPlanes. International Journal of Engineering and Geosciences. 2023; 8(3): 212 - 223. 10.26833/ijeg.1107890
IEEE Bakirman T,Sertel E "A benchmark dataset for deep learning-based airplane detection: HRPlanes." International Journal of Engineering and Geosciences, 8, ss.212 - 223, 2023. 10.26833/ijeg.1107890
ISNAD Bakirman, Tolga - Sertel, Elif. "A benchmark dataset for deep learning-based airplane detection: HRPlanes". International Journal of Engineering and Geosciences 8/3 (2023), 212-223. https://doi.org/10.26833/ijeg.1107890