Academic papers
Recent Publications
Journals
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2023
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification [preprint]
2023
Few-Shot Remote Sensing Image Classification with Meta-Learning [preprint]
2023
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks [preprint]
2022
Predicting Classification Performance for Benchmark Hyperspectral Datasets
2022
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing
2022
Quantum SVR for Chlorophyll Concentration Estimation in Water with Remote Sensing
2022
Learning from Data for Remote Sensing Image Analysis
2021
A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 images
2020
Exploration of Machine Learning Methods for the Classification of Infrared Limb Spectra of Polar Stratospheric Clouds
2019
Cloud Deep Networks for Hyperspectral Image Analysis
2019
Remote Sensing Big Data Classification with High Performance Distributed Deep Learning
2018
Parallel Computation of Component Trees on Distributed Memory Machines
2017
Automatic Attribute Profiles
2017
Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study
2016
Remote Sensing Image Classification Using Attribute Filters Defined over the Tree of Shapes
2015
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images
2015
On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods
2014
Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles
Conference Papers
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2022
Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications
2022
Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification
2022
An Automatic Approach for the production of a Time Series of Consistent Land-cover Maps Based on Long-short Term Memory
2022
Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification
2022
Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing
2022
Improving Generalization for Few-Shot Remote Sensing Classification with Meta-learning
2021
Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification
2021
Practice and Experience in using Parallel and Scalable Machine Learning in Remote Sensing from HPC over Clouds to Quantum Computing
2021
Enhancing Large Batch Size Training of Deep Models for Remote Sensing Applications
2021
Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures
2021
Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders
2021
JUWELS Booster–A Supercomputer for Large-Scale AI Research
2020
Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-WAVE Quantum Annealer
2020
Super-Resolution of Large Volumes of Sentinel-2 Images with High Performance Distributed Deep Learning
2020
Scaling up a Multispectral Resnet-50 to 128 GPUs
2019
Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images
2019
Scalable workflows for Remote Sensing Data Processing with the DEEP-EST Modular Supercomputing Architecture
2019
Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems
2018
Automated Analysis of Remotely Sensed Images Using the UNICORE Workflow Management System
2018
The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks
2018
Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images
2017
Facilitating Efficient Data Analysis of Remotely Sensed Images Using Standards-Based Parameter Sweep Models
2017
Tree-Based Supervised Feature Extraction Method Based on Self-Dual Attribute Profiles
2016
Unsupervised Change Detection Analysis to Multi-Channel Scenario based on Morphological Contextual Analysis
2016
Region-Based Classification of Remote Sensing Images with the Morphological Tree of Shapes
2015
On Scalable Data Mining Techniques for Earth Science
2015
An Advanced Classifier for the Joint Use of LiDAR and Hyperspectral Data: Case Study in Queensland, Australia
2015
Processing High Resolution Images of Urban Areas with Self-Dual Attribute Filters (Invited Paper)
2015
Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions
2015
Automatic Morphological Attribute Profiles
2015
Scalable Developments for Big Data Analytics in Remote Sensing
2014
A Comparison of Self-Dual Attribute Profiles Based on Different Filter Rules for Classification
2014
Smart Data Analytics Methods for Remote Sensing Applications
2012
Detection of Hedges Based on Attribute Filters
Magazine articles
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2022
High-Performance and Disruptive Computing in Remote Sensing: HDCRS-A New Working Group of the GRSS Earth Science Informatics Technical Committee
Book chapters
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2018
Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification
2016