P. Burai

发表

Assessing the efficiency of multispectral satellite and airborne hyperspectral images for land cover mapping in an aquatic environment with emphasis on the water caltrop (Trapa natans)

B. Deák, S. Szabó, G. Dyke, 2019, International Journal of Remote Sensing.

Land cover analysis based on descriptive statistics of Sentinel-2 time series data

S. Szabó, Tamás Tomor, O. Varga, 2018, Landscape & Environment.

Application of Remote Sensing in the Red Sludge Environmental Disaster in Hungary

Tamás Tomor, T. Bíró, P. Burai, 2012 .

Automated registration of potential locations for solar energy production with Light Detection And Ranging (LiDAR) and small format photogrammetry

Gergely Szabó, Péter Burai, Szilárd Szabó, 2016 .

Application of the life cycle analysis as an agri-environmental protection tool for the sustainable land use

J. Tamás, P. Burai, C. Juhász, 2005 .

PRELIMINARY ANALYSIS OF RED MUD SPILL BASED ON AERIAL IMAGERY

T. Bíró, G. Milics, A. Smailbegovic, 2011 .

Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging

S. Szabó, I. Holb, P. Burai, 2022, Scientific Reports.

Airborne Hyperspectral Remote Sensing for Identification Grassland Vegetation

B. Deák, Tamás Tomor, P. Burai, 2015 .

Segmentation of the uterine wall by an ensemble of fully convolutional neural networks

András Hajdu, Balázs Harangi, Péter Burai, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Pixelwise segmentation of uterine wall in endoscopic video frame using convolutional neural networks

Balázs Harangi, Péter Burai, P. Burai, 2017, Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis.

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

Szilárd Szabó, Orsolya Gyöngyi Varga, Zsuzsanna Szabó, 2020, Remote. Sens..

TESTING OF ALGORITHMS FOR THE IDENTIFICATION OF ASBESTOS ROOFING BASED ON HYPERSPECTRAL DATA

Zoltán Kovács, Szilárd Szabó, Gergely Szabó, 2014 .

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

Sarawut Ninsawat, Péter Burai, Szilárd Szabó, 2021, Remote. Sens..

Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery

Balázs Deák, Péter Burai, Orsolya Valkó, 2015, Remote. Sens..

Quantifying 3D vegetation structure in wetlands using differently measured airborne laser scanning data

A. C. Seijmonsbergen, A. Zlinszky, P. Burai, 2021 .

Mapping invasive vegetation using AISA Eagle airborne hyperspectral imagery in the Mid-Ipoly-Valley

Péter Burai, Reka Laposi, Peter Enyedi, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Usage of Different Spectral Bands in Agricultural Environmental Protection

P. Burai, I. Pechmann, 2004 .

Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in Hungary

P. Pasquali, P. Burai, István Péter Kovács, 2022, Remote Sensing.

Evaluation of applicability of airborne AISA DUAL hyperspectral imaging system to map environmental conditions in orchards

J. Tamás, P. Burai, C. Lénárt, 2009 .

MAPPING AQUATIC VEGETATION OF THE RAKAMAZ- TISZANAGYFALUI NAGY-MOROTVA USING HYPERSPECTRAL IMAGERY

Péter Burai, Csaba Lénárt, P. Burai, 2010 .

Field size precision water management based on time series analysis of satellite images

J. Tamás, P. Takács, P. Burai, 2006 .

Airborne mapping of water retention capacity of light sandy soil.

J. Tamás, P. Burai, E. Kovács, 2009 .

EVALUATION OF SPATIAL ACCURANCY OF BIOMASS SPECTRAL DATACUBES BASED ON AISA DUAL FLIGHT CAMPAIGNS

J. Deákvári, L. Fenyvesi, P. Burai, 2009 .

Deep learning‐based training data augmentation combined with post‐classification improves the classification accuracy for dominant and scattered invasive forest tree species

I. Holb, P. Burai, Szilárd Balázs Likó, 2023, Remote Sensing in Ecology and Conservation.