ORCID "0000-0003-0779-9620" Bildiri Koleksiyonu için listeleme
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Analysis of deep learning based path loss prediction from satellite images
Alam, Muhammad Zeshan; Ateş, Hasan Fehmi; Baykaş, Tunçer; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands ... -
Deep learning-based blind image super-resolution using iterative networks
Yaar, Asfand; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)Deep learning-based single image super-resolution (SR) consistently shows superior performance compared to the traditional SR methods. However, most of these methods assume that the blur kernel used to generate the ... -
Geniş alan görüntülerinde anomali tespiti
Şahin, Abdullah Hamza; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)Bu çalışma hava araçlarından çekilmiş geniş alan görüntülerindeki anomalileri tespit etmek ile ilgilidir. Anomali kümesi normal seyrin dışındaki her şey olarak belirlenmiştir. Bu amaçla iki farklı veri seti kullanılmış ve ... -
Improved YOLOv4 for aerial object detection
Ali, Sharoze; Siddique, Arslan; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)Drones equipped with cameras are being used for surveillance purposes. These surveillance systems need vision-based object detection of ground objects which look very small because of the altitude of drones. We propose an ... -
Infrared-to-optical image translation for keypoint-based image registration
Elsaeidy, Mohamed; Erkol, Muhammed Emin; Güntürk, Bahadır Kürşat; Ateş, Hasan Fehmi (Institute of Electrical and Electronics Engineers Inc., 2022)Multi-modal image registration is a critical step in many remote sensing and visual navigation applications. While image registration techniques developed for single modality images do not perform well for multi-modal ... -
Iterative kernel reconstruction for deep learning-based blind image super-resolution
Yıldırım, Süleyman; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE Computer Society, 2022)Deep learning based methods have received a great deal of interest in recent years to solve the single image superresolution (SISR) problem and their performance is proven to be superior when compared to classical SR ... -
Swin transformer based siamese network for thermal and optical image registration
Elsaeidy, Mohamed; Yağmur, İsmail Can; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers, 2023)The process of multi-modal image registration is fundamental in remote sensing and visual navigation applications. However, existing image registration methods that are designed for single modality images do not provide ...