Michalis Giannopoulos

According to our database, Michalis Giannopoulos authored at least 8 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2022

4D U-Nets for Multi-Temporal Remote Sensing Data Classification.

Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides

Remote. Sens., 2022

4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification.

Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks.

Michalis Giannopoulos, Anastasia Aidini, Anastasia Pentari, Konstantina Fotiadou, Panagiotis Tsakalides

J. Imaging, 2020

2019

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement.

Grigorios Tsagkatakis, Anastasia Aidini, Konstantina Fotiadou, Michalis Giannopoulos, Anastasia Pentari, Panagiotis Tsakalides

Sensors, 2019

Hyperspectral Image Compression and Super-Resolution Using Tensor Decomposition Learning.

Anastasia Aidini, Michalis Giannopoulos, Anastasia Pentari, Konstantina Fotiadou, Panagiotis Tsakalides

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Convolutional Neural Networks for Video Quality Assessment.

Michalis Giannopoulos, Grigorios Tsagkatakis, Saverio G. Blasi, Farzad Toutounchi, Athanasios Mouchtaris, Panagiotis Tsakalides, Marta Mrak, Ebroul Izquierdo

CoRR, 2018

On the Impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery.

Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Application of Tensor and Matrix Completion on Environmental Sensing Data.

Michalis Giannopoulos, Sofia Savvaki, Grigorios Tsagkatakis, Panagiotis Tsakalides

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017