Szilárd Szabó

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques.
Earth Sci. Informatics
Kwanele Phinzi, László Bertalan, Gashaw Gismu Chakilu, Szilárd Szabó
2024 J jnl
Aquatic vegetation mapping with UAS-cameras considering phenotypes.
Ecol. Informatics
Loránd Szabó, László Bertalan, Gergely Szabó, István Grigorszky, Imre Somlyai, György Dévai, Sándor Alex Nagy, Imre J. Holb, Szilárd Szabó
2024 J jnl
Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics.
Appl. Soft Comput.
Szilárd Szabó, Imre Holb, Vanda Éva Abriha-Molnár, Gábor Szatmári, Sudhir Kumar Singh, Dávid Abriha
2023 J jnl
Strategies in training deep learning models to extract building from multisource images with small training sample sizes.
Int. J. Digit. Earth
Dávid Abriha, Szilárd Szabó
2023 J jnl
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest.
Earth Sci. Informatics
Kwanele Phinzi, Njoya Silas Ngetar, Quoc Bao Pham, Gashaw Gismu Chakilu, Szilárd Szabó
2022 J jnl
UAV-based multispectral and thermal cameras to predict soil water content - A machine learning approach.
Comput. Electron. Agric.
László Bertalan, Imre Holb, Angelika Pataki, Gábor Négyesi, Gergely Szabó, Annamária Kupásné Szalóki, Szilárd Szabó
2021 J jnl
Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems.
Remote. Sens.
Kwanele Phinzi, Dávid Abriha, Szilárd Szabó
2021 J jnl
Validation of Visually Interpreted Corine Land Cover Classes with Spectral Values of Satellite Images and Machine Learning.
Remote. Sens.
Orsolya Gyöngyi Varga, Zoltán Kovács, László Beko, Péter Burai, Zsuzsanna Csatáriné Szabó, Imre Holb, Sarawut Ninsawat, Szilárd Szabó
2020 J jnl
Aerial Laser Scanning Data as a Source of Terrain Modeling in a Fluvial Environment: Biasing Factors of Terrain Height Accuracy.
Sensors
Zsuzsanna Szabó, Csaba Albert Tóth, Imre Holb, Szilárd Szabó
2020 J jnl
Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation.
Remote. Sens.
Aletta Dóra Schlosser, Gergely Szabó, László Bertalan, Zsolt Varga, Péter Enyedi, Szilárd Szabó
2020 J jnl
Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data.
Remote. Sens.
Orsolya Gyöngyi Varga, Robert Gilmore Pontius Jr., Zsuzsanna Szabó, Szilárd Szabó
2020 J jnl
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach.
ISPRS Int. J. Geo Inf.
Kwanele Phinzi, Dávid Abriha, László Bertalan, Imre Holb, Szilárd Szabó
2020 J jnl
NDVI as a Proxy for Estimating Sedimentation and Vegetation Spread in Artificial Lakes - Monitoring of Spatial and Temporal Changes by Using Satellite Images Overarching Three Decades.
Remote. Sens.
Loránd Szabó, Balázs Deák, Tibor Bíró, Gareth J. Dyke, Szilárd Szabó
2020 J jnl
Sequential Presentation Protects Working Memory From Catastrophic Interference.
Cogn. Sci.
Ansgar D. Endress, Szilárd Szabó
2020 J jnl
Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches.
Remote. Sens.
Zsuzsanna Szabó, Tomás Mikita, Gábor Négyesi, Orsolya Gyöngyi Varga, Péter Burai, László Takács-Szilágyi, Szilárd Szabó
2019 J jnl
Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model.
Int. J. Digit. Earth
Péter Enyedi, Melinda Pap, Zoltán Kovács, László Takács-Szilágyi, Szilárd Szabó
2016 J jnl
Possibilities of land use change analysis in a mountainous rural area: a methodological approach.
Int. J. Geogr. Inf. Sci.
Szilárd Szabó, László Bertalan, Ágnes Kerekes, Tibor J. Novák