Szilárd Szabó

According to our database, Szilárd Szabó authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Aquatic vegetation mapping with UAS-cameras considering phenotypes.

Loránd Szabó, László Bertalan, Gergely Szabó, István Grigorszky, Imre Somlyai, György Dévai, Sándor Alex Nagy, Imre J. Holb, Szilárd Szabó

Ecol. Informatics, 2024

Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics.

Szilárd Szabó, Imre Holb, Vanda Éva Abriha-Molnár, Gábor Szatmári, Sudhir Kumar Singh, Dávid Abriha

Appl. Soft Comput., 2024

2023

Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest.

Kwanele Phinzi, Njoya Silas Ngetar, Quoc Bao Pham, Gashaw Gismu Chakilu, Szilárd Szabó

Earth Sci. Informatics, December, 2023

Strategies in training deep learning models to extract building from multisource images with small training sample sizes.

Dávid Abriha, Szilárd Szabó

Int. J. Digit. Earth, December, 2023

2022

UAV-based multispectral and thermal cameras to predict soil water content - A machine learning approach.

László Bertalan, Imre Holb, Angelika Pataki, Gábor Négyesi, Gergely Szabó, Annamária Kupásné Szalóki, Szilárd Szabó

Comput. Electron. Agric., 2022

2021

Validation of Visually Interpreted Corine Land Cover Classes with Spectral Values of Satellite Images and Machine Learning.

Orsolya Gyöngyi Varga, Zoltán Kovács, László Beko, Péter Burai, Zsuzsanna Csatáriné Szabó, Imre Holb, Sarawut Ninsawat, Szilárd Szabó

Remote. Sens., 2021

Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems.

Kwanele Phinzi, Dávid Abriha, Szilárd Szabó

Remote. Sens., 2021

2020

Aerial Laser Scanning Data as a Source of Terrain Modeling in a Fluvial Environment: Biasing Factors of Terrain Height Accuracy.

Zsuzsanna Szabó, Csaba Albert Tóth, Imre Holb, Szilárd Szabó

Sensors, 2020

Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data.

Orsolya Gyöngyi Varga, Robert Gilmore Pontius Jr., Zsuzsanna Szabó, Szilárd Szabó

Remote. Sens., 2020

Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches.

Zsuzsanna Szabó, Tomás Mikita, Gábor Négyesi, Orsolya Gyöngyi Varga, Péter Burai, László Takács-Szilágyi, Szilárd Szabó

Remote. Sens., 2020

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.

Loránd Szabó, Balázs Deák, Tibor Bíró, Gareth J. Dyke, Szilárd Szabó

Remote. Sens., 2020

Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation.

Aletta Dóra Schlosser, Gergely Szabó, László Bertalan, Zsolt Varga, Péter Enyedi, Szilárd Szabó

Remote. Sens., 2020

Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach.

Kwanele Phinzi, Dávid Abriha, László Bertalan, Imre Holb, Szilárd Szabó

ISPRS Int. J. Geo Inf., 2020

Sequential Presentation Protects Working Memory From Catastrophic Interference.

Ansgar D. Endress, Szilárd Szabó

Cogn. Sci., 2020

2019

Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model.

Péter Enyedi, Melinda Pap, Zoltán Kovács, László Takács-Szilágyi, Szilárd Szabó

Int. J. Digit. Earth, 2019

2016

Possibilities of land use change analysis in a mountainous rural area: a methodological approach.

Szilárd Szabó, László Bertalan, Ágnes Kerekes, Tibor J. Novák

Int. J. Geogr. Inf. Sci., 2016