Publications
-Karathanassi V., Karamvasis K., Kristollari V., Skamantzari M., and Georgopoulos A. "Remote sensing techniques for monitoring cultural heritage sites." In EGU General Assembly 2024, April 2024.
[abstract]
-Aiello A., Barbone E., Karathanassi V., Kolokoussis P., Kremezi M., Kristollari V., and Taggio N. "Unlocking the Potential of Spectral Signature Unmixing and Machine Learning for Detecting Plastic Marine Litter: Insights from the REACT Project." In ESA Remote Sensing of Marine Litter Workshop, October 2023.
[abstract]
-Kremezi M., Kristollari V., Karathanassi V., and Kolokoussis P. "Enhancing PRISMA and Sentinel 2 Capabilities for Marine Plastic Litter Detection Using Image Fusion
Techniques, Spectral Signature Unmixing and Spectral Indexes." In 41st EARSeL Symposium, September 2022.
[researchgate access: ]
[presentation]
[abstract]
-Kremezi M., Kristollari V., Karathanassi V., Topouzelis K., Kolokoussis P., Taggio N., Aiello A., Ceriola G., Barbone E., and Corradi P. "Increasing the Sentinel-2 potential for marine
plastic litter monitoring through image fusion techniques." Marine Pollution Bulletin 182 (2022): 113974.
[publisher access: ]
[preprint]
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-Taggio N., Aiello A., Ceriola G., Kremezi M, Kristollari V., Kolokoussis P., Karathanassi V., and Barbone E. " A Combination of Machine Learning Algorithms for Marine Plastic Litter
Detection Exploiting Hyperspectral PRISMA Data "Remote Sensing 14, no. 15 (2022): 3606.
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[researchgate access: ]
-Kristollari V., and Karathanassi V. "Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative Study." IEEE Access 10 (2022): 33723-33741.
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-Kremezi M., Kristollari V., Karathanassi V., Topouzelis K., Kolokoussis P., Taggio N., Aiello A., Ceriola G., Barbone B., and Corradi P. "Pansharpening PRISMA Data
for Marine Plastic Litter Detection Using Plastic Indexes." IEEE Access 9 (2021): 61955-61971.
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-Kristollari V., and Karathanassi V. "Convolutional neural networks for detecting challenging cases in cloud
masking using Sentinel-2 imagery." In Eighth International Conference on Remote Sensing
and Geoinformation of the Environment (RSCy2020), vol. 11524, p. 115240K. International Society for Optics and Photonics, 2020.
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-Kristollari V., and Karathanassi V. "Fine-Tuning Self-Organizing Maps for
Sentinel-2 Imagery: Separating Clouds from Bright Surfaces." Remote Sensing 12, no. 12 (2020): 1923.
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-Kristollari V., and Karathanassi V. "Artificial neural networks for cloud masking of Sentinel-2 ocean
images with noise and sunglint." International Journal of Remote Sensing 41, no. 11 (2020): 4102-4135.
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[preprint]
-Kristollari V., "Automatic hyperspectral method for the detection, recognition and scoring
of erythema in psoriasis" NTUA, thesis (2016).
[NTUA access: ]
-Kremezi M. and Kristollari V., "Accuracy assessment of the Agisoft Photoscan software" NTUA, technical report (2014).
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[academia.edu access: ]
[presentation]