Követés
David Abriha
David Abriha
E-mail megerősítve itt: science.unideb.hu
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
452020
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
252018
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
212021
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
72023
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
62021
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
52023
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
52023
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
12024
Roofing material determination with hyperspectral data
D Abriha
Student V4 Geoscience Conference and Scientific Meeting GISÁČEK, Ostrava …, 2017
12017
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 the level of pollution based on soil and Tilia europaea leaves
E Simon, IB Haziq, B Sipos, VE Abriha-Molnar, D Abriha, D Tozser, ...
bioRxiv, 2024.04. 17.589890, 2024
2024
Assessment of environmental impacts based on particulate matter, and chlorophyll content of urban trees
VE Abriha-Molnar, S Szabo, T Magura, B Tothmeresz, 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
A Dávid
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
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20