Semantic segmentation of land cover from high resolution multispectral satellite images by spectral-spatial convolutional neural network E Saralioglu, O Gungor Geocarto International 37 (2), 657-677, 2022 | 50 | 2022 |
A spatial multicriteria decision-making method for natural gas transmission pipeline routing Y Volkan, Y Tahsin, N Recep, Ç H. Ebru, B Şevket, E Saralioglu Structure and Infrastructure Engineering, 2016 | 36* | 2016 |
Crowdsourcing in remote sensing: A review of applications and future directions E Saralioglu, O Gungor IEEE Geoscience and Remote Sensing Magazine 8 (4), 89-110, 2020 | 28 | 2020 |
Hiperspektral Kaynaştırma ile Mineral Tespiti Mineral Exploration with Hyperspectral Image Fusion I GİRİŞ | 21* | 2016 |
Risk analysis of forest roads using landslide susceptibility maps and generation of the optimum forest road route: a case study in Macka, Turkey F Kadi, F Yildirim, E Saralioglu Geocarto International 36 (14), 1612-1629, 2021 | 20 | 2021 |
Use of crowdsourcing in evaluating post-classification accuracy E Saralioglu, O Gungor European Journal of Remote Sensing 52 (sup1), 137-147, 2019 | 15 | 2019 |
Data model design for qualified natural-protected area in Turkey MÖ Saralioğlu, O Demir, YE Coruhlu, E Saralioğlu Survey review 51 (365), 154-165, 2019 | 11 | 2019 |
Land use/land cover classification with Landsat-8 and Landsat-9 satellite images: A comparative analysis between forest-and agriculture-dominated landscapes using different … E Saralioglu, C Vatandaslar Acta Geodaetica et Geophysica 57 (4), 695-716, 2022 | 9 | 2022 |
Crowdsourcing-based application to solve the problem of insufficient training data in deep learning-based classification of satellite images E Saralioglu, O Gungor Geocarto International 37 (18), 5433-5452, 2022 | 8 | 2022 |
Mapping surface deformation using SNAP-StaMPS after Seferhisar-Izmir earthquake E Saralioglu Natural Hazards 111 (1), 687-708, 2022 | 6 | 2022 |
Determining Suitable Areas for More Efficient Hazelnut Production E Saralioglu, D Yildirim, O Gungor The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 4 | 2016 |
Uzaktan algılama araştırmacılarına yönelik python ara yüzü ve arcgıs yazılımı eklentisi, 5 E Saralıoğlu, D Yıldırım, O Güngör UZAKTAN ALGILAMA-CBS SEMPOZYUMU, İstanbul, Türkiye, 2014 | 4 | 2014 |
Yüksek çözünürlüklü uydu görüntülerinden daha hızlı bölge tabanlı derin öğrenme modeli ile bina tespiti E Saralıoğlu, O Güngör Gümüşhane Üniversitesi Fen Bilimleri Dergisi 12 (2), 550-563, 2022 | 3 | 2022 |
Python programlama dili kullanılarak uzaktan algılama amaçlı arayüz tasarımı E Saralıoğlu Published Master's Thesis, Karadeniz Technical University, Institute of …, 2015 | 3 | 2015 |
pankromatik bandın piksel tabanlı sınıflandırmaya etkisi E Saralıoğlu Türk Uzaktan Algılama ve CBS Dergisi 2 (1), 32-40, 2021 | 2 | 2021 |
Derin öğrenme için kitle kaynak tabanlı etiketli veri üretimi ve çok bantlı görüntü sınıflandırma için bir 3d-2d cnn modeli E Saralioğlu Karadeniz Teknik Üniversitesi Yükseköğretim Kurulu Yayın ve Dokümantasyon …, 2020 | 2 | 2020 |
KİTLE KAYNAĞIN UZAKTAN ALGILAMADA KULLANIMI E Saralıoğlu, O Güngör Engineering Sciences 13 (1), 37-52, 2018 | 2 | 2018 |
Urban Renewal Activities in Turkey: The Trabzon Experience Z Usta, E Saralioglu, E Colak FIG Congress 2014, 2014 | 2 | 2014 |
Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard … Ö Akar, E Saralıoğlu, O Güngör, HF Bayata International Journal of Engineering and Geosciences 9 (1), 12-24, 2024 | 1 | 2024 |
Determination of vineyards with support vector machine and deep learning-based Image classification Ö Akar, E Saralıoğlu, O Güngör, HF Bayata Intercontinental Geoinformation Days 3, 26-29, 2021 | 1 | 2021 |