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Gabriele Cavallaro - Assistant Professor

Gabriele Cavallaro

–

School of Engineering and Natural Sciences

Gabriele CavallaroHe/Him

Assistant Professor

Location
VR-2
Phone
525 - 4694
Email
gcavallaro [at] hi.is

Unit
Faculty of Electrical and Computer Engineering

Published works

2024

A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover DataIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerIEEE Transactions on Quantum Engineering
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression TasksIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vectorized Highly Parallel Density-based Clustering for Applications with Noise
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression TasksIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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 [Technical Committees]IEEE Geoscience and Remote Sensing Magazine

2023

Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover MappingInternational Geoscience and Remote Sensing Symposium (IGARSS)
Enhancing Distributed Neural Network Training Through Node-Based CommunicationsIEEE Transactions on Neural Networks and Learning Systems
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks
FOREWORDGeoSearch 2023 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data
Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time SeriesTechRxiv
Few-Shot Remote Sensing Image Classification with Meta-LearningTechRxiv
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression TasksTechRxiv
Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time SeriesIEEE Geoscience and Remote Sensing Letters
Accuracy assessment of land-use-land-cover maps: the semantic gap between in situ and satellite dataProceedings of SPIE - The International Society for Optical Engineering
Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time Series
Few-Shot Remote Sensing Image Classification with Meta-Learning
A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream Applications [Technical Committees]IEEE Geoscience and Remote Sensing Magazine
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data ClassificationarXiv
Deep-Learning-Based 3-D Surface Reconstruction—A SurveyProceedings of the IEEE
Deep-Learning-Based 3-D Surface Reconstruction-A SurveyProceedings of the IEEE

2022

High-Performance and Disruptive Computing in Remote Sensing: HDCRS-A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]IEEE Geoscience and Remote Sensing Magazine
Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote SensingIEEE Geoscience and Remote Sensing Letters
Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications2022 45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 - Proceedings
Predicting Classification Performance for Benchmark Hyperspectral DatasetsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous ComputingIEEE Geoscience and Remote Sensing Letters
Quantum SVR for Chlorophyll Concentration Estimation in Water with Remote SensingTechRxiv
Hybrid Quantum-Classical Workflows in Modular Supercomputing Architectures with the Julich Unified Infrastructure for Quantum ComputingInternational Geoscience and Remote Sensing Symposium (IGARSS)
Learning from Data for Remote Sensing Image AnalysisInternational Journal of Remote Sensing

2021

A high-performance multispectral adaptation GAN for harmonizing dense time series of Landsat-8 and Sentinel-2 imagesTechRxiv
PRACTICE AND EXPERIENCE IN USING PARALLEL AND SCALABLE MACHINE LEARNING IN REMOTE SENSING FROM HPC OVER CLOUD TO QUANTUM COMPUTINGInternational Geoscience and Remote Sensing Symposium (IGARSS)
ENHANCING LARGE BATCH SIZE TRAINING OF DEEP MODELS FOR REMOTE SENSING APPLICATIONSInternational Geoscience and Remote Sensing Symposium (IGARSS)
FOREWORDProceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021
JUWELS booster - A supercomputer for large-scale AI researcharXiv
JUWELS Booster – A Supercomputer for Large-Scale AI ResearchLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - In conjunction with IEEE IPDPS 2021
A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 ImagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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 Recommenders2021 44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021 - Proceedings
QUANTUM SUPPORT VECTOR MACHINE ALGORITHMS FOR REMOTE SENSING DATA CLASSIFICATIONInternational Geoscience and Remote Sensing Symposium (IGARSS)

2020

Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric cloudsAtmospheric Measurement Techniques
Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds
Scaling Up a Multispectral Resnet-50 to 128 GPUsInternational Geoscience and Remote Sensing Symposium (IGARSS)

2019

Cloud Deep Networks for Hyperspectral Image Analysis
Cloud deep networks for hyperspectral image analysisIEEE Transactions on Geoscience and Remote Sensing
Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning SystemsConference on Big Data from Space (BiDS'19)
Remote Sensing Big Data Classification with High Performance Distributed Deep LearningRemote Sensing
Scalable Workflows for Remote Sensing Data Processing with the Deep-Est Modular Supercomputing ArchitectureIGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium
Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing ImagesIGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium
Remote Sensing Big Data Classification with High Performance Distributed Deep LearningRemote Sensing
Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing ImagesInternational Geoscience and Remote Sensing Symposium (IGARSS)
Cloud deep networks for hyperspectral image analysisIEEE Transactions on Geoscience and Remote Sensing

2018

High Performance and Cloud Computing for Remote Sensing DataIEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Modular supercomputing design supporting machine learning applications2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Parallel computation of component trees on distributed memory machinesIEEE Transactions on Parallel and Distributed Systems
Scaling support vector machines towards exascale computing for classification of large-scale high-resolution remote sensing imagesInternational Geoscience and Remote Sensing Symposium (IGARSS)
Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing ImagesIGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium
Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image ClassificationSignals and Communication Technology
Parallel Computation of Component Trees on Distributed Memory MachinesIEEE Transactions on Parallel and Distributed Systems
The influence of sampling methods on pixel-wise hyperspectral image classification with 3d convolutional neural networksIGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium
Parallel and Scalable Machine Learning
Automating Physical and Machine Learning Models using Scientific WorkflowsAGU Fall Meeting Abstracts
Automated Analysis of remotely sensed images using the UNICORE workflow management systemIGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium
Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classificationMathematical Models for Remote Sensing Image Processing
Modular supercomputing design supporting machine learning applications2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 - Proceedings
Scaling DBSCAN towards exascale computing for clustering of big data setsEGU General Assembly Conference Abstracts

2017

Tree-based supervised feature extraction method based on self-dual attribute profiles2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Automatic attribute profilesIEEE Transactions on Image Processing
Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case StudyarXiv preprint arXiv:1707.02642
Integration of LiDAR and hyperspectral data for land-cover classification: A case studyarXiv
Automatic Attribute ProfilesIEEE Transactions on Image Processing
Facilitating efficient data analysis of remotely sensed images using standards-based parameter sweep models2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Facilitating efficient data analysis of remotely sensed images using standards-based parameter sweep modelsInternational Geoscience and Remote Sensing Symposium (IGARSS)

2016

Region-based classification of remote sensing images with the morphological tree of shapesInternational Geoscience and Remote Sensing Symposium (IGARSS)
Remote Sensing Image Classification Using Attribute Filters Defined over the Tree of ShapesIEEE Transactions on Geoscience and Remote Sensing
Unsupervised change detection analysis to multi-channel scenario based on morphological contextual analysis2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Remote Sensing Image Classification Using Attribute Filters Defined over the Tree of Shapes
Region-based classification of remote sensing images with the morphological tree of shapes2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Spectral-Spatial Classification of Remote Sensing Optical Data with Morphological Attribute Profiles using Parallel and Scalable Methods
Remote sensing image classification using attribute filters defined over the tree of shapesIEEE Transactions on Geoscience and Remote Sensing
ANALYZING REMOTE SENSING IMAGES WITH HIERARCHIAL MORPHOLOGICAL REPRESENTATIONSHandbook of Pattern Recognition and Computer Vision

2015

On parallel and scalable classification and clustering techniques for earth science datasets6th Workshop on Data Mining in Earth System Science, International Conference of Computational Science (ICCS), Reykjavik
Scalable developments for big data analytics in remote sensing2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Automatic threshold selection for profiles of attribute filters based on granulometric characteristic functionsInternational Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing
Analyzing remote sensing images with hierarchial morphological representationsHandbook Of Pattern Recognition And Computer Vision (5th Edition)
On scalable data mining techniques for earth scienceProcedia Computer Science
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral ImagesIEEE Geoscience and Remote Sensing Letters
An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, AustraliaInternational Geoscience and Remote Sensing Symposium (IGARSS)
On Understanding Big Impacts in Remotely Sensed Classification Using Support Vector Machine Methods
Processing high resolution images of urban areas with self-dual attribute filters2015 Joint Urban Remote Sensing Event, JURSE 2015
On understanding big data impacts in remotely sensed image classification using support vector machine methodsIEEE journal of selected topics in applied earth observations and remote sensing
Automatic morphological attribute profiles2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine MethodsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Automatic threshold selection for profiles of attribute filters based on granulometric characteristic functionsLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods
Processing high resolution images of urban areas with self-dual attribute filters2015 Joint Urban Remote Sensing Event (JURSE)
On scalable data mining techniques for earth scienceProcedia computer science
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images
An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

2014

Smart data analytics methods for remote sensing applications2014 IEEE geoscience and remote sensing symposium
Classification Techniques in Remote Sensing Research using Smart Data Analytics
Automatic framework for spectral--spatial classification based on supervised feature extraction and morphological attribute profilesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Smart data analytics methods for remote sensing applicationsInternational Geoscience and Remote Sensing Symposium (IGARSS)
A comparison of self-dual attribute profiles based on different filter rules for classification2014 IEEE Geoscience and Remote Sensing Symposium
Parallel SVM for the analysis of hyperspectral dataEGU General Assembly Conference Abstracts
Automatic framework for spectral-spatial classification based on supervised feature extraction and morphological attribute profilesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Smart Data Analytics Methods for Remote Sensing ApplicationsProceedings of the IEEE 35th Canadian Symposium on Remote Sensing

2012

Detection of hedges based on attribute filtersImage and Signal Processing for Remote Sensing XVIII
Detection of hedges based on attribute filtersProceedings of SPIE - The International Society for Optical Engineering

Keywords for Specialisation:

Image Processing

Machine Learning

Distributed computing

High Performance Computing