Tuia, D.
Co Author Listing * Active Learning: Any Value for Classification of Remotely Sensed Data?
* Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods
* Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM
* Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines
* Cluster validity measure and merging system for hierarchical clustering considering outliers
* Contextual Semantic Interpretability
* Correcting rural building annotations in OpenStreetMap using convolutional neural networks
* Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest
* Decision Fusion With Multiple Spatial Supports by Conditional Random Fields
* deep learning framework for matching of SAR and optical imagery, A
* Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
* DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
* DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
* Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks
* deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling
* Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data
* Discovering relevant spatial filterbanks for VHR image classification
* Discriminative Multiple Kernel Learning for Hyperspectral Image Classification
* End-to-end learned early classification of time series for in-season crop type mapping
* Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering
* Foreword to the theme issue on geospatial computer vision
* Geospatial Correspondences for Multimodal Registration
* Graph Matching for Adaptation in Remote Sensing
* Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning
* Kernel Low-Rank and Sparse Graph for Unsupervised and Semi-Supervised Classification of Hyperspectral Images
* Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models
* Learning Deep Structured Active Contours End-to-End
* Learning Relevant Image Features with Multiple-Kernel Classification
* Learning rotation invariant convolutional filters for texture classification
* Learning User's Confidence for Active Learning
* Memory-Based Cluster Sampling for Remote Sensing Image Classification
* Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
* Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions
* Multimodal Classification of Remote Sensing Images: A Review and Future Directions
* Multitemporal classification without new labels: A solution with optimal transport
* Muti-modal learning in photogrammetry and remote sensing
* Network-Based Correlated Correspondence for Unsupervised Domain Adaptation of Hyperspectral Satellite Images
* Nonconvex Regularization in Remote Sensing
* Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects
* On the relation between landscape beauty and land cover: A case study in the U.K. at Sentinel-2 resolution with interpretable AI
* Optimal Transport for Domain Adaptation
* Pose estimation of landscape images using DEM and orthophotos
* Preface - Isprs Workshop Hyperspectral Sensing Meets Machine Learning And Pattern Analysis (hypermlpa 2019)
* Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering
* Recent advances in remote sensing image processing
* Remote sensing image segmentation by active queries
* Rotation Equivariant Vector Field Networks
* RSVQA: Visual Question Answering for Remote Sensing Data
* Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery
* Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images
* Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
* Semi-Supervised Novelty Detection Using SVM Entire Solution Path
* Semisupervised Classification of Remote Sensing Images With Active Queries
* Semisupervised Manifold Alignment of Multimodal Remote Sensing Images
* Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification
* Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis
* SVM Active Learning Approach for Image Classification Using Spatial Information
* Toward Seamless Multiview Scene Analysis From Satellite to Street Level
* Understanding angular effects in VHR imagery and their significance for urban land-cover model portability: A study of two multi-angle in-track image sequences
* Unsupervised Alignment of Image Manifolds with Centrality Measures
* Wasserstein Adversarial Regularization for Learning With Label Noise
Includes: Tuia, D. Tuia, D.[Devis]
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