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ORCIDAntigoni Panagiotopoulou
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Books and Theses
- 2009
[b1]Antigoni Panagiotopoulou:
Μέθοδοι βελτίωσης της χωρικής ανάλυσης ψηφιακής εικόνας. University of Patras, Greece, 2009
Journal Articles
- 2012
- [j2]Antigoni Panagiotopoulou, Vassilis Anastassopoulos:
Super-resolution image reconstruction techniques: Trade-offs between the data-fidelity and regularization terms. Inf. Fusion 13(3): 185-195 (2012) - 2008
- [j1]Antigoni Panagiotopoulou, Vassilis Anastassopoulos:
Scanned images resolution improvement using neural networks. Neural Comput. Appl. 17(1): 39-47 (2008)
Conference and Workshop Papers
- 2023
- [c9]Antigoni Panagiotopoulou, Lemonia Ragia, Niki Evelpidou:
Deep-Learning Based Super-Resolution of Aeolianite Images on the Purpose of Edge Detection and Pattern Extraction. GISTAM 2023: 244-250 - 2022
- [c8]Antigoni Panagiotopoulou, Lemonia Ragia, Froso Sarri:
Sea Level Rise Future Predictions: A Case Study in Crete. GISTAM 2022: 166-172 - [c7]Froso Sarri
, Lemonia Ragia, Antigoni Panagiotopoulou, Katerina Mania:
Location-Aware Augmented-Reality for Predicting Sea Level Rise in Situ. IMET 2022: 1-8 - [c6]Antigoni Panagiotopoulou, Emmanuel Bratsolis, Lazaros Grammatikopoulos, Eleni Petsa, Eleni Charou, Konstantinos Poirazidis, Aristotelis Martinis, Nicholas Madamopoulos:
Sentinel-2 Images at 2.5m Spatial Resolution via Deep-Learning: A Case Study in Zakythnos. IVMSP 2022: 1-5 - 2021
- [c5]Antigoni Panagiotopoulou, Eleni Charou, Konstantinos Poirazidis, Yorghos Voutos, Aristotelis Martinis, Lazaros Grammatikopoulos, Eleni Petsa, Emmanuel Bratsolis, Phivos Mylonas:
Deep-Learning Based Super-Resolution of Sentinel-2 Images for Monitoring Supercentenarian Olive Trees. PCI 2021: 143-148 - 2020
- [c4]Antigoni Panagiotopoulou, Lazaros Grammatikopoulos, Georgia Kalousi, Eleni Charou:
Sentinel-2 and SPOT-7 Images in Machine Learning Frameworks for Super-Resolution. ICPR Workshops (7) 2020: 462-476 - 2019
- [c3]Eleni Charou, George Felekis, Danai Bournou Stavroulopoulou, Maria Koutsoukou, Antigoni Panagiotopoulou, Yorghos Voutos, Emmanuel Bratsolis, Phivos Mylonas, Laurence Likforman-Sulem:
Deep Learning for Agricultural Land Detection in Insular Areas. IISA 2019: 1-4 - [c2]Antigoni Panagiotopoulou, Eleni Charou, Marianthi Stefouli, Konstantinos Platis, Nicholas Madamopoulos, Emmanuel Bratsolis:
Sentinel-2 "low resolution band" optimization using Super-Resolution techniques: Lysimachia Lake pilot area of analysis. IISA 2019: 1-2 - 2018
- [c1]Emmanuel Bratsolis, Antigoni Panagiotopoulou, Marianthi Stefouli, Eleni Charou, Nicholas Madamopoulos, Stavros J. Perantonis:
Comparison of Optimized Mathematical Methods in the Improvement of Raster Data and Map Display Resolution of Sentinel-2 Images. ICIP 2018: 2521-2525
Informal and Other Publications
- 2020
- [i2]E. Zioga, Antigoni Panagiotopoulou, Marianthi Stefouli, Eleni Charou, Lazaros Grammatikopoulos, Emmanuel Bratsolis, Nicholas Madamopoulos:
Spatial Resolution Enhancement of Remote Sensing Mine Images using Deep Learning Techniques. CoRR abs/2007.08791 (2020) - [i1]Antigoni Panagiotopoulou, Lazaros Grammatikopoulos, Eleni Charou, Emmanuel Bratsolis, Nicholas Madamopoulos, John Petrogonas:
Very Deep Super-Resolution of Remotely Sensed Images with Mean Square Error and Var-norm Estimators as Loss Functions. CoRR abs/2007.15417 (2020)
Coauthor Index
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