Gabriele Cavallaro

Publications

• Cloud Deep Networks for Hyperspectral Image Analysis
• Parallel SVM for the analysis of hyperspectral data
• A comparison of self-dual attribute profiles based on different filter rules for classification
• Automatic framework for spectral--spatial classification based on supervised feature extraction and morphological attribute profiles
• Automatic threshold selection for profiles of attribute filters based on granulometric characteristic functions
• An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia
• Classification Techniques in Remote Sensing Research using Smart Data Analytics
• Smart data analytics methods for remote sensing applications
• Smart Data Analytics Methods for Remote Sensing Applications
• Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images
• On scalable data mining techniques for earth science
• Processing high resolution images of urban areas with self-dual attribute filters
• ANALYZING REMOTE SENSING IMAGES WITH HIERARCHIAL MORPHOLOGICAL REPRESENTATIONS
• Remote sensing image classification using attribute filters defined over the tree of shapes
• Spectral-Spatial Classification of Remote Sensing Optical Data with Morphological Attribute Profiles using Parallel and Scalable Methods
• Region-based classification of remote sensing images with the morphological tree of shapes
• Remote Sensing Image Classification Using Attribute Filters Defined over the Tree of Shapes
• Unsupervised change detection analysis to multi-channel scenario based on morphological contextual analysis
• On parallel and scalable classification and clustering techniques for earth science datasets
• Automatic attribute profiles
• Volcanic systems and fissure swarm and fracture database
• Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study
• Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images
• The influence of sampling methods on pixel-wise hyperspectral image classification with 3d convolutional neural networks
• High Performance and Cloud Computing for Remote Sensing Data
• Automating Physical and Machine Learning Models using Scientific Workflows
• Cloud deep networks for hyperspectral image analysis
• Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems
• Parallel and Scalable Machine Learning
• Remote Sensing Big Data Classification with High Performance Distributed Deep Learning
• On Understanding Big Impacts in Remotely Sensed Classification Using Support Vector Machine Methods
• Facilitating efficient data analysis of remotely sensed images using standards-based parameter sweep models
• Scalable Workflows for Remote Sensing Data Processing with the Deep-Est Modular Supercomputing Architecture
• Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images
• Detection of hedges based on attribute filters
• On understanding big data impacts in remotely sensed image classification using support vector machine methods
• Automatic morphological attribute profiles
• Scalable developments for big data analytics in remote sensing
• Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classification
• Tree-based supervised feature extraction method based on self-dual attribute profiles
• Parallel computation of component trees on distributed memory machines
• Modular supercomputing design supporting machine learning applications
• Scaling DBSCAN towards exascale computing for clustering of big data sets
• Automated Analysis of remotely sensed images using the UNICORE workflow management system
• On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods
• Remote Sensing Big Data Classification with High Performance Distributed Deep Learning