Výsledky vyhledávání - "Sertel, Elif"

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

Publikováno v: Bak{\i}rman, T., & Sertel, E. (2023). A benchmark dataset for deep learning-based airplane detection: HRPlanes. International Journal of Engineering and Geosciences, 8(3), 212-223

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

Externí odkaz: http://arxiv.org/abs/2204.10959

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Akademický článek

Assessment of soil salinity using explainable machine learning methods and Landsat 8 images

Autor: Aksoy, Samet, Sertel, Elif, Roscher, Ribana, Tanik, Aysegul, Hamzehpour, Nikou

Publikováno v: In International Journal of Applied Earth Observation and Geoinformation June 2024 130

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A Multi-Task Deep Learning Framework for Building Footprint Segmentation

Autor: Ekim, Burak, Sertel, Elif

The task of building footprint segmentation has been well-studied in the context of remote sensing (RS) as it provides valuable information in many aspects, however, difficulties brought by the nature of RS images such as variations in the spatial ar

Externí odkaz: http://arxiv.org/abs/2104.09375

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Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs

Autor: Ozcelik, Furkan, Alganci, Ugur, Sertel, Elif, Unal, Gozde

Convolutional Neural Networks (CNN)-based approaches have shown promising results in pansharpening of satellite images in recent years. However, they still exhibit limitations in producing high-quality pansharpening outputs. To that end, we propose a

Externí odkaz: http://arxiv.org/abs/2006.16644

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