Search Results - "SERTEL, Elif"

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  1. 1

    Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs by Ozcelik, Furkan, Alganci, Ugur, Sertel, Elif, Unal, Gozde

    “…Convolutional neural network (CNN)-based approaches have shown promising results in the pansharpening of the satellite images in recent years. However, they…”
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    Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images by Alganci, Ugur, Soydas, Mehmet, Sertel, Elif

    Published in Remote sensing (Basel, Switzerland) (01-02-2020)
    “…Object detection from satellite images has been a challenging problem for many years. With the development of effective deep learning algorithms and…”
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  3. 3

    Deep neural network ensembles for remote sensing land cover and land use classification by Ekim, Burak, Sertel, Elif

    Published in International journal of digital earth (02-12-2021)
    “…With the advancement of satellite technology, a considerable amount of very high-resolution imagery has become available to be used for the Land Cover and Land…”
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  4. 4

    Accuracy Assessment of Different Digital Surface Models by Alganci, Ugur, Besol, Baris, Sertel, Elif

    “…Digital elevation models (DEMs), which can occur in the form of digital surface models (DSMs) or digital terrain models (DTMs), are widely used as important…”
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  5. 5

    Separating Built-Up Areas from Bare Land in Mediterranean Cities Using Sentinel-2A Imagery by Ettehadi Osgouei, Paria, Kaya, Sinasi, Sertel, Elif, Alganci, Ugur

    Published in Remote sensing (Basel, Switzerland) (01-02-2019)
    “…In this research work, a multi-index-based support vector machine (SVM) classification approach has been proposed to determine the complex and morphologically…”
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  6. 6

    Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images by Sertel, Elif, Ekim, Burak, Ettehadi Osgouei, Paria, Kabadayi, M. Erdem

    Published in Remote sensing (Basel, Switzerland) (01-09-2022)
    “…Deep learning-based segmentation of very high-resolution (VHR) satellite images is a significant task providing valuable information for various geospatial…”
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  7. 7

    Impacts of land cover data quality on regional climate simulations by Sertel, Elif, Robock, Alan, Ormeci, Cankut

    Published in International journal of climatology (15-11-2010)
    “…The land surface influences local, regional and global climate across many time scales. Accurate representation of land surfaces is an important factor for…”
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  8. 8

    Integrated usage of historical geospatial data and modern satellite images reveal long-term land use/cover changes in Bursa/Turkey, 1858–2020 by Ettehadi Osgouei, Paria, Sertel, Elif, Kabadayı, M. Erdem

    Published in Scientific reports (31-05-2022)
    “…Land surface of the Earth has been changing as a result of human induced activities and natural processes. Accurate representation of landscape characteristics…”
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  9. 9

    Assessment of soil salinity using explainable machine learning methods and Landsat 8 images by Aksoy, Samet, Sertel, Elif, Roscher, Ribana, Tanik, Aysegul, Hamzehpour, Nikou

    “…•ML based Soil salinity estimations were explained using Shapley additive explanations.•Landsat 8 images derived features’ importance for soil salinity were…”
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  10. 10

    Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map by Ekim, Burak, Sertel, Elif, Kabadayı, M. Erdem

    “…Scanned historical maps are available from different sources in various scales and contents. Automatic geographical feature extraction from these historical…”
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    Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platform by Bahşi, Kübra, Ustaoğlu, Beyza, Aksoy, Samet, Sertel, Elif

    Published in Geocarto international (31-12-2023)
    “…This research aims to find crop-based residue burning (CRB) amounts for the Southeastern Anatolia Region of Türkiye, where versatile and diverse of…”
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  13. 13

    VHRShips: An Extensive Benchmark Dataset for Scalable Deep Learning-Based Ship Detection Applications by Kızılkaya, Serdar, Alganci, Ugur, Sertel, Elif

    “…The classification of maritime boats and ship targets using optical satellite imagery is a challenging subject. This research introduces a unique and rich ship…”
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  14. 14

    ASSESSMENT OF CLASSIFICATION ACCURACIES OF SENTINEL-2 AND LANDSAT-8 DATA FOR LAND COVER / USE MAPPING by Topaloğlu, Raziye Hale, Sertel, Elif, Musaoğlu, Nebiye

    “…This study aims to compare classification accuracies of land cover/use maps created from Sentinel-2 and Landsat-8 data. Istanbul metropolitan city of Turkey,…”
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  15. 15

    Comparison of Landscape Metrics for Three Different Level Land Cover/Land Use Maps by Sertel, Elif, Topaloğlu, Raziye, Şallı, Betül, Yay Algan, Irmak, Aksu, Gül

    “…This research aims to investigate how different landscape metrics are affected by the enhancement of the thematic classes in land cover/land use (LC/LU) maps…”
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    Comparison of pixel and object-based classification for burned area mapping using SPOT-6 images by Sertel, Elif, Alganci, Ugur

    Published in Geomatics, natural hazards and risk (03-07-2016)
    “…On 30 May 2013, a forest fire occurred in Izmir, Turkey causing damage to both forest and fruit trees within the region. In this research, pre- and post-fire…”
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  17. 17

    Agricultural Land Abandonment in Bulgaria: A Long-Term Remote Sensing Perspective, 1950–1980 by Kabadayı, Mustafa Erdem, Ettehadi Osgouei, Paria, Sertel, Elif

    Published in Land (Basel) (01-10-2022)
    “…Agricultural land abandonment is a globally significant threat to the sustenance of economic, ecological, and social balance. Although the driving forces…”
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    Automated Orthorectification of VHR Satellite Images by SIFT-Based RPC Refinement by Kartal, Hakan, Alganci, Ugur, Sertel, Elif

    “…Raw remotely sensed images contain geometric distortions and cannot be used directly for map-based applications, accurate locational information extraction or…”
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  19. 19

    Identification of Earthquake Induced Damage Areas Using Fourier Transform and SPOT HRVIR Pan Images by Sertel, Elif

    Published in Sensors (Basel, Switzerland) (01-03-2009)
    “…A devastating earthquake with a magnitude of Mw 7.4 occurred on the North Anatolian Fault Zone (NAFZ) of Turkey on August 17, 1999 at 00:01:39 UTC (3:01 a.m…”
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