Maria Papadomanolaki

A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection

Maria Papadomanolaki, Maria Vakalopoulou · IEEE Transactions on Geoscience and Remote Sensing · 2021 · 171 citations

Convolutional Neural Network, Engineering, Machine Learning +17

BENCHMARKING DEEP LEARNING FRAMEWORKS FOR THE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE MULTISPECTRAL DATA

Maria Papadomanolaki, Maria Vakalopoulou, Sergey Zagoruyko · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2016 · 51 citations · Full text

Engineering, Machine Learning, Multispectral Imaging +16

A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks

Maria Papadomanolaki, Maria Vakalopoulou · Remote Sensing · 2019 · 48 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +18

BENCHMARKING DEEP LEARNING FRAMEWORKS FOR THE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE MULTISPECTRAL DATA

Maria Papadomanolaki, Maria Vakalopoulou, S. Zagoruyko · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2016 · 37 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning

Maria Papadomanolaki, Stergios Christodoulidis, Maria Vakalopoulou · Remote Sensing · 2021 · 24 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16