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Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery

Remote sensing (Basel, Switzerland), 2015-02, Vol.7 (2), p.2046-2066

2015

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

Scientific reports, 2022-12, Vol.12 (1), p.20919-20919, Article 20919

2022

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

Ecological indicators, 2021-08, Vol.127, p.107752, Article 107752

2021

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

Journal of cleaner production, 2016, Vol.112, p.3820-3829

2016

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

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (14), p.3251

2022

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

Remote sensing (Basel, Switzerland), 2021-03, Vol.13 (5), p.857

2021

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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)

International journal of remote sensing, 2019-07, Vol.40 (13), p.5192-5215

2019

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

Remote sensing in ecology and conservation, 2024-04, Vol.10 (2), p.203-219

2024

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

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3652

2020

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Improving Urban Mapping Accuracy: Investigating the Role of Data Acquisition Methods and SfM Processing Modes in UAS-Based Survey Through Explainable AI Metrics

Journal of geovisualization and spatial analysis, 2024-06, Vol.8 (1)

2024

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Correction: Improving Urban Mapping Accuracy: Investigating the Role of Data Acquisition Methods and SfM Processing Modes in UAS-Based Survey Through Explainable AI Metrics

Journal of geovisualization and spatial analysis, 2024, Vol.8 (1)

2024

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QUANTIFICATION OF VEGETATION STRESS BASED ON HYPERSPECTRAL IMAGE PROCESSING

Cereal research communications, 2009-01, Vol.37, p.581-584

2009

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APPLICATION OF ADVANCED TECHNOLOGIES FOR THE DETECTION OF POLLUTION MIGRATION

Cereal research communications, 2007-06, Vol.35 (2), p.805-808

2007

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Légi hiperspektrális felvétel osztályozási pontosságának vizsgálata fás mintaterületen

Geodézia és kartográfia, 2021, Vol.73 (3), p.7-12

2021

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PRE-HARVEST PREDICTION OF SPRING BARLEY NITROGEN CONTENT USING HYPERSPECTRAL IMAGING

Cereal research communications, 2008-01, Vol.36, p.1863-1866

2008

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SPECTRAL CHARACTERIZATION AND MAPPING OF SUGAR BEET DISEASE

Cereal research communications, 2008-01, Vol.36, p.811-814

2008

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ESTABLISHING THE CONDITIONS OF AGRICULTURAL UTILIZATION OF ROTTED SEWAGE SLUDGE

Cereal research communications, 2008-01, Vol.36, p.807-810

2008

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

Acta geographica debrecina. Landscape and environment series, 2018-12, Vol.12 (2), p.1-9

2018

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

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.49-52

2018

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Preliminary analysis of red mud spill based on aerial imagery

Acta geographica debrecina. Landscape and environment series, 2011-06, Vol.5 (1), p.47-57

2011

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MAPPING AQUATIC VEGETATION OF THE RAKAMAZTISZANAGYFALUI NAGY-MOROTVA USING HYPERSPECTRAL IMAGERY

Acta geographica debrecina. Landscape and environment series, 2010-06, Vol.4 (1), p.1-10

2010

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

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017, p.95-98

2017

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Dynamic data exchange in agricultural water management strategy

Cereal research communications, 2006, Vol.34 (1), p.57-60

2006

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Individual Tree Species Classification Using Airborne Hyperspectral Imagery And Lidar Data

2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2019, p.1-4

2019

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IEEE_Xplore

Zooming on Aerial Survey

Small Flying Drones, 2017, p.91-126

2017

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Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery

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

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

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

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

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

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)

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

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

Improving Urban Mapping Accuracy: Investigating the Role of Data Acquisition Methods and SfM Processing Modes in UAS-Based Survey Through Explainable AI Metrics

Correction: Improving Urban Mapping Accuracy: Investigating the Role of Data Acquisition Methods and SfM Processing Modes in UAS-Based Survey Through Explainable AI Metrics

QUANTIFICATION OF VEGETATION STRESS BASED ON HYPERSPECTRAL IMAGE PROCESSING

APPLICATION OF ADVANCED TECHNOLOGIES FOR THE DETECTION OF POLLUTION MIGRATION

Légi hiperspektrális felvétel osztályozási pontosságának vizsgálata fás mintaterületen

PRE-HARVEST PREDICTION OF SPRING BARLEY NITROGEN CONTENT USING HYPERSPECTRAL IMAGING

SPECTRAL CHARACTERIZATION AND MAPPING OF SUGAR BEET DISEASE

ESTABLISHING THE CONDITIONS OF AGRICULTURAL UTILIZATION OF ROTTED SEWAGE SLUDGE

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

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

Preliminary analysis of red mud spill based on aerial imagery

MAPPING AQUATIC VEGETATION OF THE RAKAMAZTISZANAGYFALUI NAGY-MOROTVA USING HYPERSPECTRAL IMAGERY

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

Dynamic data exchange in agricultural water management strategy

Individual Tree Species Classification Using Airborne Hyperspectral Imagery And Lidar Data

Zooming on Aerial Survey

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