Journals

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
2024

A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification

2024

Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks

2024

Sen4Map: Advancing Mapping with Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data

2024

Local Binary and Multiclass SVMs Trained on a Quantum Annealer

2024

Vectorized Highly Parallel Density-Based Clustering for Applications With Noise

2023

Few-Shot Remote Sensing Image Classification with Meta-Learning [preprint]

2023

Deep Learning-based 3D Surface Reconstruction - A Survey

2023

Enhancing Distributed Neural Network Training Through Node-Based Communications

2023

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time Series

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

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
2024

Quantum Annealing for Semantic Segmentation in Remote Sensing: Potential and Limitations

2024

A Hybrid Quantum-Classical CNN Architecture for Semantic Segmentation of Radar Sounder Data

2024

Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning

2024

Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps

2024

A CNN Architecture Tailored for Quantum Feature Map-Based Radar Sounder Signal Segmentation

2024

Enhancing Land Cover Mapping: A Novel Automatic Approach to Improve Mixed Spectral Pixel Classification

2023

Enhancing Training Set Through Multi-temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping

2023

Challenges and Opportunities in the Adoption of High Performance Computing for Earth Observation Applications in the Exascale Era

2023

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing

2023

Adiabatic Quantum Kitchen Sinks With Parallel Annealing For Remote Sensing Regression Problems

2023

Accuracy Assessment of Land-Use-Land-Cover Maps: the Semantic Gap between in Situ and Satellite Data

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

2022

Hybrid Quantum-Classical Workflows in Modular Supercomputing Architectures with the Jülich Unified Infrastructure for Quantum Computing

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

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
2024

High Performance and Disruptive Computing in Remote Sensing - The third edition of the school organized by the HDCRS Working Group of the GRSS Earth Science Informatics Technical Committee

2023

A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream Applications [Technical Committees]

2022

High-Performance and Disruptive Computing in Remote Sensing: HDCRS-A New Working Group of the GRSS Earth Science Informatics Technical Committee

Book chapters

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
2024

Proven Approaches of Using Innovative High-Performance Computing Architectures in Remote Sensing

2018

Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification

2016

Analyzing Remote Sensing Images with Hierarchical Morphological Representations