Bovolo, F.[Francesca]
* 2000: Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery
* 2005: Adaptive Multiscale Approach to Unsupervised Change Detection in Multitemporal SAR Images, An
* 2005: Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images, A
* 2007: Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks, A
* 2007: Multiscale Change Detection Technique Robust to Registration Noise, A
* 2007: Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment, A
* 2008: Multidimensional Probability Density Function Matching for Preprocessing of Multitemporal Remote Sensing Images
* 2008: Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure, A
* 2010: Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images, A
* 2010: Novel Technique for Subpixel Image Classification Based on Support Vector Machine, A
* 2010: Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data
* 2010: Support Vector Domain Method For Change Detection In Multitemporal Images, A
* 2011: Active-learning based cascade classification of multitemporal images for updating land-cover maps
* 2011: multilevel approach to change detection for port surveillance with very high resolution SAR images, A
* 2012: Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active-Learning-Based Compound Classification
* 2012: Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images, A
* 2012: Novel Domain Adaptation Bayesian Classifier for Updating Land-Cover Maps With Class Differences in Source and Target Domains, A
* 2013: Classification of Time Series of Multispectral Images with Limited Training Data
* 2013: Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications, A
* 2013: Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images, A
* 2013: Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach
* 2015: Adaptive Semisupervised Approach to the Detection of User-Defined Recurrent Changes in Image Time Series, An
* 2015: Approach to Fine Coregistration Between Very High Resolution Multispectral Images Based on Registration Noise Distribution, An
* 2015: Building Change Detection in Multitemporal Very High Resolution SAR Images
* 2015: Fine co-registration of VHR images for multitemporal Urban area analysis
* 2015: Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images
* 2015: Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair, A
* 2015: Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images
* 2015: Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images
* 2016: Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images
* 2017: Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions
* 2017: Circular change detection in image time series inspired by two-dimensional phase unwrapping
* 2017: Internal Crown Geometric Model for Conifer Species Classification With High-Density LiDAR Data, An
* 2017: novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors, A
* 2017: Segmentation-Based Fine Registration of Very High Resolution Multitemporal Images
* 2017: Spatio-temporal evolution of crop fields in Sentinel-2 Satellite Image Time Series
* 2018: Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors, An
* 2019: Distributed Radar Sounder: A Novel Concept for Subsurface Investigations Using Sensors in Formation Flight
* 2019: Fast and Robust Matching for Multimodal Remote Sensing Image Registration
* 2019: Generation of Homogeneous VHR Time Series by Nonparametric Regression of Multisensor Bitemporal Images
* 2019: Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data, A
* 2019: Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors, A
* 2019: Novel Spectra-Derived Features for Empirical Retrieval of Water Quality Parameters: Demonstrations for OLI, MSI, and OLCI Sensors
* 2019: Single Image Super-Resolution for Optical Satellite Scenes Using Deep Deconvolutional Network
* 2019: Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery
* 2019: Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images
* 2020: Explainable Convolutional Autoencoder Model for Unsupervised Change Detection, An
* 2020: Method for the Analysis of Small Crop Fields in Sentinel-2 Dense Time Series, A
* 2020: Novel Framework Based on Polarimetric Change Vectors for Unsupervised Multiclass Change Detection in Dual-Pol Intensity SAR Images, A
* 2020: Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon
* 2020: Snow Cover Estimation Underneath the Clouds Based on Multitemporal Correlation Analysis in Historical Time-Series Imagery
* 2020: Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images
* 2020: Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2
* 2021: Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding
* 2021: Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data, A
* 2021: Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes
* 2022: Unsupervised Fuzzy System for the Automatic Detection of Candidate Lava Tubes in Radar Sounder Data, An
* 2022: Water Quality Retrieval from Landsat-9 (OLI-2) Imagery and Comparison to Sentinel-2
* 2023: Remote Sensing and Deep Learning to Understand Noisy OpenStreetMap
Includes: Bovolo, F.[Francesca] Bovolo, F.
59 for Bovolo, F.