Adam Kania

Orcid: 0000-0002-0364-4907

According to our database1, Adam Kania authored at least 13 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Joseph the MoUSE - Mouse Ultrasonic Sound Explorer.
SoftwareX, February, 2024

FreSh: Frequency Shifting for Accelerated Neural Representation Learning.
CoRR, 2024

Airborne data and machine learning for urban tree species mapping: Enhancing the legend design to improve the map applicability for city greenery management.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN.
CoRR, 2023

2022
Fast Isogeometric Analysis Simulations of a Process of Air Pollution Removal by Artificially Generated Shock Waves.
Proceedings of the Computational Science - ICCS 2022, 2022

2020
The t-SNE Algorithm as a Tool to Improve the Quality of Reference Data Used in Accurate Mapping of Heterogeneous Non-Forest Vegetation.
Remote. Sens., 2020

Recursive Feature Elimination and Random Forest Classification of Natura 2000 Grasslands in Lowland River Valleys of Poland Based on Airborne Hyperspectral and LiDAR Data Fusion.
Remote. Sens., 2020

2019
Using Airborne Hyperspectral Imaging Spectroscopy to Accurately Monitor Invasive and Expansive Herb Plants: Limitations and Requirements of the Method.
Sensors, 2019

Multiple Flights or Single Flight Instrument Fusion of Hyperspectral and ALS Data? A Comparison of their Performance for Vegetation Mapping.
Remote. Sens., 2019

Mapping Succession in Non-Forest Habitats by Means of Remote Sensing: Is the Data Acquisition Time Critical for Species Discrimination?
Remote. Sens., 2019

2015
Mapping Natura 2000 Habitat Conservation Status in a Pannonic Salt Steppe with Airborne Laser Scanning.
Remote. Sens., 2015

Classification of vegetation in an open landscape using full-waveform airborne laser scanner data.
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
Categorizing Grassland Vegetation with Full-Waveform Airborne Laser Scanning: A Feasibility Study for Detecting Natura 2000 Habitat Types.
Remote. Sens., 2014


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