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Ekrem Saralıoğlu
Ekrem Saralıoğlu
在 artvin.edu.tr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
502022
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
282020
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
202021
Use of crowdsourcing in evaluating post-classification accuracy
E Saralioglu, O Gungor
European Journal of Remote Sensing 52 (sup1), 137-147, 2019
152019
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
112019
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
92022
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
82022
Mapping surface deformation using SNAP-StaMPS after Seferhisar-Izmir earthquake
E Saralioglu
Natural Hazards 111 (1), 687-708, 2022
62022
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
42016
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
42014
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
32022
Python programlama dili kullanılarak uzaktan algılama amaçlı arayüz tasarımı
E Saralıoğlu
Published Master's Thesis, Karadeniz Technical University, Institute of …, 2015
32015
pankromatik bandın piksel tabanlı sınıflandırmaya etkisi
E Saralıoğlu
Türk Uzaktan Algılama ve CBS Dergisi 2 (1), 32-40, 2021
22021
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
22020
KİTLE KAYNAĞIN UZAKTAN ALGILAMADA KULLANIMI
E Saralıoğlu, O Güngör
Engineering Sciences 13 (1), 37-52, 2018
22018
Urban Renewal Activities in Turkey: The Trabzon Experience
Z Usta, E Saralioglu, E Colak
FIG Congress 2014, 2014
22014
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
12024
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
12021
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