Machine learning for gully feature extraction based on a pan-sharpened multispectral image: Multiclass vs. Binary approach K Phinzi, D Abriha, L Bertalan, I Holb, S Szabó ISPRS International Journal of Geo-Information 9 (4), 252, 2020 | 47 | 2020 |
Identification of roofing materials with Discriminant Function Analysis and Random Forest classifiers on pan-sharpened WorldView-2 imagery–a comparison D Abriha, Z Kovács, S Ninsawat, L Bertalan, B Balázs, S Szabó Hungarian Geographical Bulletin 67 (4), 375-392, 2018 | 30 | 2018 |
Classification efficacy using k-fold cross-validation and bootstrapping resampling techniques on the example of mapping complex gully systems K Phinzi, D Abriha, S Szabó Remote Sensing 13 (15), 2980, 2021 | 26 | 2021 |
PRISMA hyperspectral data for lithological mapping in the Egyptian Eastern Desert: Evaluating the support vector machine, random forest, and XG boost machine learning algorithms A Shebl, D Abriha, AS Fahil, HA El-Dokouny, AA Elrasheed, Á Csámer Ore Geology Reviews, 105652, 2023 | 12 | 2023 |
Smaller is better? Unduly nice accuracy assessments in roof detection using remote sensing data with machine learning and k-fold cross-validation D Abriha, PK Srivastava, S Szabó Heliyon 9 (3), 2023 | 11 | 2023 |
Strategies in training deep learning models to extract building from multisource images with small training sample sizes D Abriha, S Szabó International Journal of Digital Earth 16 (1), 1707-1724, 2023 | 6 | 2023 |
Urban vegetation classification with high-resolution PlanetScope and SkySat multispectral imagery L Szabó, D Abriha, K Phinzi, S Szabó Acta Geographica Debrecina Landscape & Environment series 15 (1), 66-75, 2021 | 6 | 2021 |
Classification assessment tool: a program to measure the uncertainty of classification models in terms of class-level metrics S Szabó, IJ Holb, VÉ Abriha-Molnár, G Szatmári, SK Singh, D Abriha Applied Soft Computing 155, 111468, 2024 | 3 | 2024 |
Roofing material determination with hyperspectral data D Abriha Student V4 Geoscience Conference and Scientific Meeting GISÁČEK, Ostrava …, 2017 | 1 | 2017 |
Assessment of the level of pollution based on soil and Tilia × europaea leaves E Simon, H Bin Ismail, B Sipos, VE Abriha-Molnar, D Abriha, D Tőzsér, ... bioRxiv, 2024.04. 17.589890, 2024 | | 2024 |
Effect of urbanization on the city pollution based on soil and tree leaves in Valencia, Spain E Simon, IH Bin, B Sipos, VÉ Abriha-Molnár, D Abriha, HR Boluda, ... | | 2024 |
Effect of urbanisation on soil and plant pollution in province of Valencia, Spain E Simon, IH Bin, B Sipos, VE Abriha-Molnar, D Abriha, O Andreu-Sanchez, ... bioRxiv, 2024.03. 27.586674, 2024 | | 2024 |
Assessment of environmental impacts based on particulate matter, and chlorophyll content of urban trees VÉ Abriha-Molnár, S Szabó, T Magura, B Tóthmérész, D Abriha, B Sipos, ... bioRxiv, 2023.05. 31.543026, 2023 | | 2023 |
Pan-sharpening as an effective method to improve classification accuracy of roofing materials. S Szabó, D Abriha, Z Kovács, S Ninsawat, L Bertalan, B Bertalan-Balázs Geophysical Research Abstracts 21, 2019 | | 2019 |
Gépi és mély tanulási eljárások alkalmazása a városi környezet vizsgálatában, nagyfelbontású és különböző dimenziójú távérzékelt adatok alapján D Abriha | | |
Tetők anyagának a vizsgálata WorldView-2 felvételen Debrecen példáján A Dávid DETEP, 0 | | |
Identification of asbestos cement roofing in urban environment with hyperspectral data A Dávid DETEP, 0 | | |
Roofing material determination with hyperspectral data A Dávid DETEP, 0 | | |
Machine learning algoritmusok pontosságának értékelése WorldView-2 műholdfelvétel alapján, tetőfedő anyagok osztályozásában A Dávid DETEP, 0 | | |
Tetőfedő anyagok osztályozása hiperspektrális felvétel alapján D Abriha | | |