Viktoria Kristollari

I have worked as a researcher at the Remote Sensing Lab (RSLab) of National Technical University of Athens (NTUA). I have also been a teaching assistant at the course "Special Topics of Remote Sensing" of the RSLab. The subject of my PhD research was the investigation and development of machine learning methods for multispectral/hyperspectral Remote Sensing applications.

I have been involved in a broad spectrum of Remote Sensing/Image processing applications including medical, thermal and SAR image processing, unmixing methodologies and 3D modelling. I have also reviewed papers submitted to Remote Sensing journals and I have participated in proposal writing for European and Greek research calls.

email   linkedin   researchgate   google scholar   orcid   github  

Experience

Education

Skills

ESA SNAP: Exelis ENVI: Erdas Ermapper: Erdas Imagine: Opticks: Ecognition: ENVI Sarscape:

ESRI Arcgis: Qgis: Autocad Civil 3D: Agisoft Photoscan: Photomod: Photoshop:

• Python (good knowledge)
• Matlab (good knowledge)
• C++ (fair knowledge)

• Keras/Tensorflow
• Pytorch

• Greek (native)
• Albanian (native)
• English (level C2)
• French (level B2)
• German (level B2.1)

Publications

-Kristollari V., and Karathanassi V. "NIR simulation by generative deep learning" (to be published).
[preprint]

-Kristollari V., "Unlocking the Potential of Artificial Intelligence for Satellite Image Processing" NTUA, PhD dissertation (2018-2024).
[NTUA access] [presentation]

-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] [related code]

-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.
[publisher access: ] [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.
[publisher access: ] [researchgate access] [related code]

-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.
[publisher access: ] [researchgate access] [related code]

-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.
[publisher access: ] [researchgate access] [related code]

-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.
[publisher access: ] [researchgate access] [related code]

-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.
[publisher access: ] [related code] [related dataset] [preprint]

-Kristollari V., "Automatic hyperspectral method for the detection, recognition and scoring of erythema in psoriasis" NTUA, Integrated Master thesis (2016).
[NTUA access]

-Kremezi M. and Kristollari V., "Accuracy assessment of the Agisoft Photoscan software" NTUA, technical report (2014).
[researchgate access] [presentation]

Honors & Awards

• 3 year scholarship awarded by the NTUA Special Account for Research Funds as a financial support for my PhD research (2017).
• Limmat Stiftung Excellence Award (1 ^st prize, 2016)
• Teenage member of the Greek Parliament (2009-2010)