Yüksek çözünürlüklü uydu görüntülerinden daha hızlı bölge tabanlı derin öğrenme modeli ile bina tespiti

Author:

SARALIOĞLU Ekrem,GÜNGÖR Oğuz

Publisher

Gumushane University Journal of Science and Technology Institute

Subject

General Engineering

Reference69 articles.

1. Arel, I., Rose, D. C., & Karnowski, T. P. (2010). Deep machine learning-a new frontier in artificial intelligence research [research frontier]. IEEE Computational Intelligence Magazine, 5(4), 13-18. https://doi.org/10.1109/MCI.2010.938364

2. Arévalo, V., González, J., Valdes, J., & Ambrosio, G. (2006, May). Detecting shadows in QuickBird satellite images. In ISPRS Commission VII Mid-term Symposium Remote Sensing: From Pixels to Processes, (pp. 8-11), Enschede, Netherlands.

3. Ammar, A., Koubaa, A., Ahmed, M., & Saad, A. (2019). Aerial images processing for car detection using convolutional neural networks: Comparison between faster r-cnn and yolov3. arXiv preprint arXiv:1910.07234. https://arxiv.org/abs/1910.07234

4. Ammour, N., Alhichri, H., Bazi, Y., Benjdira, B., Alajlan, N., & Zuair, M. (2017). Deep learning approach for car detection in UAV imagery. Remote Sensing, 9(4), https://doi.org/10.3390/rs9040312

5. Barsi, A., & Heipke, C. (2003). Artificial neural networks for the detection of road junctions in aerial images. International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, 34(3/W8), 113-118

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