Devis Tuia

Orcid: 0000-0003-0374-2459

According to our database1, Devis Tuia authored at least 225 papers between 2008 and 2024.

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Bibliography

2024
Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

ConGeo: Robust Cross-view Geo-localization across Ground View Variations.
CoRR, 2024

Cross-Modal Learning of Housing Quality in Amsterdam.
CoRR, 2024

Imbalance-aware Presence-only Loss Function for Species Distribution Modeling.
CoRR, 2024

Large Language Models for Captioning and Retrieving Remote Sensing Images.
CoRR, 2024

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning.
CoRR, 2024

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GeoAI as Collaborative Effort.
Künstliche Intell., March, 2023

Data-Centric Machine Learning for Geospatial Remote Sensing Data.
CoRR, 2023

The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation.
CoRR, 2023

High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2.
CoRR, 2023

Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks.
CoRR, 2023

Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning.
CoRR, 2023

From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring.
CoRR, 2023

Large-scale Detection of Marine Debris in Coastal Areas with Sentinel-2.
CoRR, 2023

Artificial intelligence to advance Earth observation: a perspective.
CoRR, 2023

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Time Series Analysis of Urban Liveability.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Text as a Richer Source of Supervision in Semantic Segmentation Tasks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Improving Few-Shot Object Detection with Object Part Proposals.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-task prompt-RSVQA to explicitly count objects on aerial images.
Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

2022
Attribute Prediction as Multiple Instance Learning.
Trans. Mach. Learn. Res., 2022

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling.
IEEE Trans. Geosci. Remote. Sens., 2022

A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth.
IEEE Trans. Geosci. Remote. Sens., 2022

Wasserstein Adversarial Regularization for Learning With Label Noise.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Semantic Segmentation of Remote Sensing Images With Sparse Annotations.
IEEE Geosci. Remote. Sens. Lett., 2022

Fine-grained Population Mapping from Coarse Census Counts and Open Geodata.
CoRR, 2022

Geo-Information Harvesting from Social Media Data.
CoRR, 2022

Towards Efficient Correction of Coconut Tree Detection Errors.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Language Transformers for Remote Sensing Visual Question Answering.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Remote sensing visual question answering with a self-attention multi-modal encoder.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022

Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Block Label Swap for Species Distribution Modelling.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Knowledge-Aware Cross-Modal Text-Image Retrieval for Remote Sensing Images.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021
Estimating quality of life dimensions from urban spatial pattern metrics.
Comput. Environ. Urban Syst., 2021

Detecting Unsigned Physical Road Incidents From Driver-View Images.
IEEE Trans. Intell. Veh., 2021

Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient.
Int. J. Geogr. Inf. Sci., 2021

Deep Learning and Earth Observation to Support the Sustainable Development Goals.
CoRR, 2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.
CoRR, 2021

Mapping Vulnerable Populations with AI.
CoRR, 2021

Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data.
CoRR, 2021

Towards a Collective Agenda on AI for Earth Science Data Analysis.
CoRR, 2021

How to find a good image-text embedding for remote sensing visual question answering?
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), 2021

RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Cross-Modal Learning of Housing Quality in Amsterdam.
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021

2020
RSVQA: Visual Question Answering for Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2020

Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Concept Discovery for The Interpretation of Landscape Scenicness.
Mach. Learn. Knowl. Extr., 2020

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data.
Int. J. Geogr. Inf. Sci., 2020

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization.
CoRR, 2020

OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing.
CoRR, 2020

Interpretable Scenicness from Sentinel-2 Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

A Whale's Tail - Finding the Right Whale in an Uncertain World.
Proceedings of the xxAI - Beyond Explainable AI, 2020

Contextual Semantic Interpretability.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Data Fusion Contest 2016 (DFC2016).
Dataset, October, 2019

Data Fusion Contest 2017 (DFC2017).
Dataset, October, 2019

Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2019

Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects.
IEEE Trans. Geosci. Remote. Sens., 2019

Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data.
Remote. Sens., 2019

Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution.
CoRR, 2019

Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise.
CoRR, 2019

Correcting rural building annotations in OpenStreetMap using convolutional neural networks.
CoRR, 2019

Novelty detection in very high resolution urban scenes with Density Forests.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Deep Learning Models to Count Buildings in High-Resolution Overhead Images.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Interactive Coconut Tree Annotation Using Feature Space Projections.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Visual Question Answering From Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantically Interpretable Activation Maps: what-where-how explanations within CNNs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Adaptive Compression-based Lifelong Learning.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Optimal Transport for Multi-source Domain Adaptation under Target Shift.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Decision Fusion With Multiple Spatial Supports by Conditional Random Fields.
IEEE Trans. Geosci. Remote. Sens., 2018

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Foreword to the Special Issue on Urban Remote Sensing for Smarter Cities.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering.
Remote. Sens., 2018

Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images.
CoRR, 2018

Scale equivariance in CNNs with vector fields.
CoRR, 2018

Change Detection between Multimodal Remote Sensing Data Using Siamese CNN.
CoRR, 2018

Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning.
CoRR, 2018

Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models.
CoRR, 2018

Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Deep Network Approach to Multitemporal Cloud Detection.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Multilabel Building Functions Classification from Ground Pictures using Convolutional Neural Networks.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2018

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Deep Structured Active Contours End-to-End.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

DeepGlobe 2018: A Challenge to Parse the Earth Through Satellite Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2017

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Toward Seamless Multiview Scene Analysis From Satellite to Street Level.
Proc. IEEE, 2017

Optimal Transport for Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Deep learning in remote sensing: a review.
CoRR, 2017

Detecting animals in African Savanna with UAVs and the crowds.
CoRR, 2017

Towards seamless multi-view scene analysis from satellite to street-level.
CoRR, 2017

Land use modeling in North Rhine-Westphalia with interaction and scaling laws.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Learning class- and location-specific priors for urban semantic labeling with CNNs.
Proceedings of the Joint Urban Remote Sensing Event, 2017


Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Joint height estimation and semantic labeling of monocular aerial images with CNNS.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Fast animal detection in UAV images using convolutional neural networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Rotation Equivariant Vector Field Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Discriminative Multiple Kernel Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2016

Nonconvex Regularization in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2016

Kernel Low-Rank and Sparse Graph for Unsupervised and Semi-Supervised Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2016

Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest - Part B: 3-D Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Foreword to the Special Issue on "GeoVision: Computer Vision for Geospatial Applications".
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Foreword to the Special Issue on Urban Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks.
CoRR, 2016

Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions.
CoRR, 2016

Non-convex regularization in remote sensing.
CoRR, 2016

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.
Big Data, 2016

Semantic labeling of aerial images by learning class-specific object proposals.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Getting pixels and regions to agree with conditional random fields.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Solving structured segmentation of aerial images as puzzles.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Optimal transport for data fusion in remote sensing.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Learning rotation invariant convolutional filters for texture classification.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Geospatial Correspondences for Multimodal Registration.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2015

Foreword to the Special Issue on Hyperspectral Image and Signal Processing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Joining a Discrete Radiative Transfer Model and a Kernel Retrieval Algorithm for Soil Moisture Estimation From SAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Cluster validity measure and merging system for hierarchical clustering considering outliers.
Pattern Recognit., 2015

Multimodal Classification of Remote Sensing Images: A Review and Future Directions.
Proc. IEEE, 2015

Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity.
IEEE Geosci. Remote. Sens. Lett., 2015

Kernel Manifold Alignment.
CoRR, 2015

Multitemporal classification without new labels: A solution with optimal transport.
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

Classification of urban structural types with multisource data and structured models.
Proceedings of the Joint Urban Remote Sensing Event, 2015

To be or not to be convex? A study on regularization in hyperspectral image classification.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Individual tree segmentation in deciduous forests using geodesic voting.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Large-scale random features for kernel regression.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Weakly supervised alignment of multisensor images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces.
IEEE Trans. Neural Networks Learn. Syst., 2014

Semisupervised Manifold Alignment of Multimodal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2014

Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM.
IEEE Trans. Geosci. Remote. Sens., 2014

SVM Active Learning Approach for Image Classification Using Spatial Information.
IEEE Trans. Geosci. Remote. Sens., 2014

Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods.
IEEE Signal Process. Mag., 2014

Semi-supervised multiview embedding for hyperspectral data classification.
Neurocomputing, 2014

Principal Polynomial Analysis.
Int. J. Neural Syst., 2014

Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Hierarchical sparse representation for dictionary-based classification of hyperspectral images.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Soil moisture estimation using synergy of optical, SAR, and topographic data with Gaussian Process Regression.
Proceedings of the SAR Image Analysis, 2014

Domain Adaptation with Regularized Optimal Transport.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Do geographic features impact pictures location shared on the Web? Modeling photographic suitability in the Swiss Alps.
Proceedings of the 1st International Workshop on Environnmental Multimedia Retrieval co-located with ACM International Conference on Multimedia Retrieval, 2014

Weakly supervised alignment of image manifolds with semantic ties.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Crop backscatter modeling and soil moisture estimation with support vector regression.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Non-linear low-rank and sparse representation for hyperspectral image analysis.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Domain adaptation in remote sensing through cross-image synthesis with dictionaries.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Spectral adaptation of hyperspectral flight lines using VHR contextual information.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Unsupervised Alignment of Image Manifolds with Centrality Measures.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Network-Based Correlated Correspondence for Unsupervised Domain Adaptation of Hyperspectral Satellite Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Graph Matching for Adaptation in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2013

Learning User's Confidence for Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2013

Semi-Supervised Novelty Detection Using SVM Entire Solution Path.
IEEE Trans. Geosci. Remote. Sens., 2013

Active Learning: Any Value for Classification of Remotely Sensed Data?
Proc. IEEE, 2013

Supervised change detection in VHR images using contextual information and support vector machines.
Int. J. Appl. Earth Obs. Geoinformation, 2013

Estimation of soil moisture from airborne hyperspectral imagery with support vector regression.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Multi-sensor change detection based on nonlinear canonical correlations.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Create the relevant spatial filterbank in the hyperspectral jungle.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Multisensor alignment of image manifolds.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Domain adaptation with Hidden Markov Random Fields.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification.
Proceedings of the ICPRAM 2013, 2013

Multisource clustering of remote sensing images with Entropy-based Dempster-Shafer fusion.
Proceedings of the 21st European Signal Processing Conference, 2013

Multi-view feature extraction for hyperspectral image classification.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Large Margin Filtering.
IEEE Trans. Signal Process., 2012

Memory-Based Cluster Sampling for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2012

Semisupervised Classification of Remote Sensing Images With Active Queries.
IEEE Trans. Geosci. Remote. Sens., 2012

SVM-Based Boosting of Active Learning Strategies for Efficient Domain Adaptation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Remote sensing image segmentation by active queries.
Pattern Recognit., 2012

Unsupervised Change Detection With Kernels.
IEEE Geosci. Remote. Sens. Lett., 2012

Nonlinear data description with Principal Polynomial Analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Enhanced change detection using nonlinear feature extraction.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Putting the user into the active learning loop: Towards realistic but efficient photointerpretation.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Discovering single classes in remote sensing images with active learning.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Discovering relevant spatial filterbanks for VHR image classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Remote Sensing Image Processing
Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02247-0, 2011

Structured Output SVM for Remote Sensing Image Classification.
J. Signal Process. Syst., 2011

Urban Image Classification With Semisupervised Multiscale Cluster Kernels.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation.
IEEE Geosci. Remote. Sens. Lett., 2011

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification.
IEEE J. Sel. Top. Signal Process., 2011

Dataset shift adaptation with active queries.
Proceedings of the Joint Urban Remote Sensing Event, 2011

Unsupervised change detection in the feature space using kernels.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Graph matching for efficient classifiers adaptation.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Large scale semi-supervised image segmentation with active queries.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Improving active learning methods using spatial information.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Domain separation for efficient adaptive active learning.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Principal polynomial analysis for remote sensing data processing.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Explicit recursivity into reproducing kernel Hilbert spaces.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232].
IEEE Trans. Geosci. Remote. Sens., 2010

Learning Relevant Image Features With Multiple-Kernel Classification.
IEEE Trans. Geosci. Remote. Sens., 2010

Multisource Composite Kernels for Urban-Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2010

Spectral-textural endmember extraction.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Advanced active sampling for remote sensing image classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Cluster-based active learning for compact image classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Estimating biophysical variable dependences with kernels.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Time series input selection using multiple kernel learning.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Active Learning Methods for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2009

Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines.
IEEE Trans. Geosci. Remote. Sens., 2009

Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest.
IEEE Trans. Geosci. Remote. Sens., 2009

Clustering and Hot Spot Detection in Socio-economic Spatio-temporal Data.
Trans. Comput. Sci., 2009

Semisupervised Remote Sensing Image Classification With Cluster Kernels.
IEEE Geosci. Remote. Sens. Lett., 2009

Learning the Relevant Image Features with Multiple Kernels.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Recent advances in remote sensing image processing.
Proceedings of the International Conference on Image Processing, 2009

Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields.
Proceedings of the Artificial Neural Networks, 2009

2008
Support-Based Implementation of Bayesian Data Fusion for Spatial Enhancement: Applications to ASTER Thermal Images.
IEEE Geosci. Remote. Sens. Lett., 2008

Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Very-High Resolution Image Classification using Morphological Operators and SVM.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps.
Proceedings of the Computational Science and Its Applications - ICCSA 2008, International Conference, Perugia, Italy, June 30, 2008


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