Devis Tuia
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Researcher, ORCID id # 0000-0003-0374-2459
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Earth Sciences
Devis Tuia's Degrees
- Masters Geomatics ETH Zurich
- PhD Geomatics ETH Zurich
Why Is Devis Tuia Influential?
(Suggest an Edit or Addition)Devis Tuia's Published Works
Published Works
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources (2017) (1434)
- Optimal Transport for Domain Adaptation (2014) (790)
- Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods (2013) (599)
- DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images (2018) (493)
- Active Learning Methods for Remote Sensing Image Classification (2009) (473)
- A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification (2011) (456)
- Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks (2016) (426)
- Deep learning in remote sensing: a review (2017) (386)
- Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances (2016) (287)
- DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation (2018) (286)
- Multimodal Classification of Remote Sensing Images: A Review and Future Directions (2015) (262)
- Supervised change detection in VHR images using contextual information and support vector machines (2013) (234)
- Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation (2011) (222)
- Learning Relevant Image Features With Multiple-Kernel Classification (2010) (221)
- Rotation Equivariant Vector Field Networks (2016) (216)
- Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines (2009) (193)
- Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest (2015) (191)
- Using active learning to adapt remote sensing image classifiers (2011) (176)
- Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning (2018) (176)
- Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest (2009) (166)
- Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models (2018) (163)
- Domain Adaptation with Regularized Optimal Transport (2014) (161)
- Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification (2015) (158)
- Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009–2010 Data Fusion Contest (2012) (154)
- Active Learning: Any Value for Classification of Remotely Sensed Data? (2013) (148)
- SVM Active Learning Approach for Image Classification Using Spatial Information (2014) (146)
- Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response (2016) (137)
- Learning rotation invariant convolutional filters for texture classification (2016) (137)
- Semisupervised Manifold Alignment of Multimodal Remote Sensing Images (2014) (133)
- Semisupervised Remote Sensing Image Classification With Cluster Kernels (2009) (123)
- Learning Deep Structured Active Contours End-to-End (2018) (116)
- Remote Sensing Image Processing (2011) (114)
- Multisource Composite Kernels for Urban-Image Classification (2010) (105)
- Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest (2016) (103)
- Discriminative Multiple Kernel Learning for Hyperspectral Image Classification (2016) (101)
- Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions (2015) (99)
- Perspectives in machine learning for wildlife conservation (2021) (98)
- Optimal Transport for Multi-source Domain Adaptation under Target Shift (2018) (98)
- Unsupervised Change Detection With Kernels (2012) (97)
- Semisupervised Classification of Remote Sensing Images With Active Queries (2012) (95)
- Graph Matching for Adaptation in Remote Sensing (2013) (94)
- Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest (2018) (94)
- Detecting animals in African Savanna with UAVs and the crowds (2017) (93)
- Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM (2014) (89)
- Kernel Manifold Alignment for Domain Adaptation (2015) (84)
- Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis (2015) (81)
- Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution (2019) (74)
- Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning (2019) (71)
- SVM-Based Boosting of Active Learning Strategies for Efficient Domain Adaptation (2012) (69)
- Urban Image Classification With Semisupervised Multiscale Cluster Kernels (2011) (68)
- Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images (2018) (60)
- Hydrometeor classification from polarimetric radar measurements: a clustering approach (2015) (60)
- Kernel Low-Rank and Sparse Graph for Unsupervised and Semi-Supervised Classification of Hyperspectral Images (2016) (59)
- Remote sensing image segmentation by active queries (2012) (59)
- Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest (2017) (58)
- Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-sized cities (2007) (58)
- Multiscale analysis of geomorphological and geological features in high resolution digital elevation models using the wavelet transform (2012) (58)
- Toward Seamless Multiview Scene Analysis From Satellite to Street Level (2017) (58)
- Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data (2021) (56)
- RSVQA: Visual Question Answering for Remote Sensing Data (2020) (56)
- Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data (2018) (54)
- Scale equivariance in CNNs with vector fields (2018) (52)
- Joint height estimation and semantic labeling of monocular aerial images with CNNS (2017) (50)
- Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization (2016) (49)
- Scan statistics analysis of forest fire clusters (2008) (49)
- Defining and spatially modelling cultural ecosystem services using crowdsourced data (2020) (47)
- Semi-Supervised Novelty Detection Using SVM Entire Solution Path (2013) (46)
- Support-Based Implementation of Bayesian Data Fusion for Spatial Enhancement: Applications to ASTER Thermal Images (2008) (45)
- Fast animal detection in UAV images using convolutional neural networks (2017) (45)
- Correcting rural building annotations in OpenStreetMap using convolutional neural networks (2019) (42)
- Hydrometeor classification from two-dimensional video disdrometer data (2014) (42)
- OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing (2020) (41)
- A deep learning framework for matching of SAR and optical imagery (2020) (41)
- Change Detection between Multimodal Remote Sensing Data Using Siamese CNN (2018) (40)
- Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity (2015) (38)
- Learning wind fields with multiple kernels (2011) (37)
- Structured Output SVM for Remote Sensing Image Classification (2009) (36)
- Semantic Segmentation of Remote Sensing Images With Sparse Annotations (2021) (35)
- Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data (2019) (32)
- Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest—Part B: 3-D Contest (2016) (32)
- 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 (2015) (32)
- Cluster validity measure and merging system for hierarchical clustering considering outliers (2015) (31)
- Unbiased query-by-bagging active learning for VHR image classification (2010) (31)
- Geospatial Correspondences for Multimodal Registration (2016) (30)
- Remote Sensing Image Processing. Synthesis Lectures on Image, Video, and Multimedia Processing. (2011) (30)
- Memory-Based Cluster Sampling for Remote Sensing Image Classification (2012) (29)
- Semi-supervised multiview embedding for hyperspectral data classification (2014) (28)
- Detection of clusters using space–time scan statistics (2009) (27)
- Toward a Collective Agenda on AI for Earth Science Data Analysis (2021) (26)
- Nonconvex Regularization in Remote Sensing (2016) (26)
- 2017 IEEE GRSS Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees] (2017) (26)
- Classification of urban structural types with multisource data and structured models (2015) (25)
- Principal Polynomial Analysis (2014) (24)
- Learning User's Confidence for Active Learning (2013) (24)
- Decision Fusion With Multiple Spatial Supports by Conditional Random Fields (2018) (23)
- Recent advances in remote sensing image processing (2009) (23)
- Indoor radon distribution in Switzerland: lognormality and Extreme Value Theory. (2008) (22)
- Optimizing embedded sensor network design for catchment‐scale snow‐depth estimation using LiDAR and machine learning (2016) (21)
- Optimal transport with Laplacian regularization (2014) (21)
- Semantically Interpretable Activation Maps: what-where-how explanations within CNNs (2019) (20)
- Unsupervised change detection by kernel clustering (2010) (20)
- Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects (2019) (20)
- Estimating quality of life dimensions from urban spatial pattern metrics (2021) (19)
- Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms (2010) (19)
- Self-supervised pre-training enhances change detection in Sentinel-2 imagery (2021) (19)
- Transfer component analysis for domain adaptation in image classification (2011) (19)
- When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images (2019) (17)
- Contextual Semantic Interpretability (2020) (17)
- Multilabel Building Functions Classification from Ground Pictures using Convolutional Neural Networks (2018) (17)
- Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing (2014) (17)
- deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling (2020) (17)
- Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs (2018) (16)
- Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities (2022) (16)
- 2015 IEEE GRSS Data Fusion Contest: Extremely High Resolution LiDAR and Optical Data [Technical Committees] (2015) (16)
- Beyond the urban mask (2017) (16)
- Land-use characterisation using Google Street View pictures and OpenStreetMap (2018) (15)
- Optimal transport for data fusion in remote sensing (2016) (15)
- Large Margin Filtering (2012) (14)
- Estimation of soil moisture from airborne hyperspectral imagery with support vector regression (2013) (13)
- Multi-sensor change detection based on nonlinear canonical correlations (2013) (13)
- Cluster-based active learning for compact image classification (2010) (13)
- Dataset shift adaptation with active queries (2011) (12)
- An open tool to register landscape oblique images and generate their synthetic models (2012) (12)
- Visual Question Answering From Remote Sensing Images (2019) (12)
- 21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning (2021) (12)
- Social media and deep learning capture the aesthetic quality of the landscape (2021) (12)
- How to find a good image-text embedding for remote sensing visual question answering? (2021) (12)
- RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing (2021) (12)
- Environmental Monitoring Network Characterization and Clustering (2010) (12)
- Do geographic features impact pictures location shared on the Web? Modeling photographic suitability in the Swiss Alps (2014) (11)
- Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence (2018) (11)
- Contributions of machine learning to remote sensing data analysis (2018) (11)
- Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling (2008) (11)
- On the relation between landscape beauty and land cover: A case study in the U.K. at Sentinel-2 resolution with interpretable AI (2021) (10)
- Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient (2020) (10)
- Active learning for monitoring network optimization (2012) (10)
- Nonlinear data description with Principal Polynomial Analysis (2012) (10)
- Improving active learning methods using spatial information (2011) (10)
- WEAKLY SUPERVISED ALIGNMENT OF MULTISENSOR IMAGES (2015) (9)
- Joining a Discrete Radiative Transfer Model and a Kernel Retrieval Algorithm for Soil Moisture Estimation From SAR Data (2015) (9)
- Large-scale random features for kernel regression (2015) (9)
- ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY (2020) (9)
- Identifying spatial clustering phenomena in forest-fire sequences (2007) (9)
- AIDE: Accelerating image‐based ecological surveys with interactive machine learning (2020) (9)
- Getting pixels and regions to agree with conditional random fields (2016) (8)
- Unsupervised Alignment of Image Manifolds with Centrality Measures (2014) (8)
- Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields (2009) (8)
- Land use modeling in North Rhine-Westphalia with interaction and scaling laws (2017) (8)
- Multisensor alignment of image manifolds (2013) (7)
- Pose Estimation of Web-Shared Landscape Pictures (2014) (7)
- Interactive Coconut Tree Annotation Using Feature Space Projections (2019) (7)
- A group-lasso active set strategy for multiclass hyperspectral image classification (2014) (7)
- Supervised change detection in VHR images: A comparative analysis (2009) (7)
- Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings (2020) (7)
- Multitemporal classification without new labels: A solution with optimal transport (2015) (7)
- Wasserstein Adversarial Regularization for Learning With Label Noise (2021) (7)
- Individual tree segmentation in deciduous forests using geodesic voting (2015) (7)
- Emergence of spatio-temporal patterns in forest-fire sequences (2008) (7)
- Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering (2018) (7)
- Learning the relevant image features with multiple kernels (2009) (7)
- Unsupervised change detection via hierarchical support vector clustering (2012) (7)
- A Deep Network Approach to Multitemporal Cloud Detection (2018) (7)
- Pose estimation of landscape images using DEM and orthophotos (2012) (6)
- Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232] (2010) (6)
- Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise (2019) (6)
- Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces (2014) (6)
- CHANGE DETECTION BETWEEN DIGITAL SURFACE MODELS FROM AIRBORNE LASER SCANNING AND DENSE IMAGE MATCHING USING CONVOLUTIONAL NEURAL NETWORKS (2019) (6)
- To be or not to be convex? A study on regularization in hyperspectral image classification (2015) (6)
- Adaptive Compression-based Lifelong Learning (2019) (6)
- Wasserstein Adversarial Regularization (WAR) on label noise (2019) (6)
- Counting using deep learning regression gives value to ecological surveys (2021) (6)
- Principal polynomial analysis for remote sensing data processing (2011) (6)
- Spectral-textural endmember extraction (2010) (5)
- Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval (2018) (5)
- Concept Discovery for The Interpretation of Landscape Scenicness (2020) (5)
- Domain adaptation with Hidden Markov Random Fields (2013) (5)
- BETTER GENERIC OBJECTS COUNTING WHEN ASKING QUESTIONS TO IMAGES: A MULTITASK APPROACH FOR REMOTE SENSING VISUAL QUESTION ANSWERING (2020) (5)
- 2016 IEEE GRSS Data Fusion Contest: Very high temporal resolution from space Technical Committees (2016) (5)
- Detecting Unsigned Physical Road Incidents From Driver-View Images (2020) (5)
- Domain separation for efficient adaptive active learning (2011) (5)
- Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery (2018) (5)
- Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images (2021) (5)
- 2014 IEEE GRSS Data Fusion Contest: Multiresolution Fusion of Thermal Hyperspectral and VIS Data [Technical Committees] (2014) (5)
- Interpretable Scenicness from Sentinel-2 Imagery (2020) (5)
- Deep Learning Models to Count Buildings in High-Resolution Overhead Images (2019) (5)
- Very-High Resolution Image Classification using Morphological Operators and SVM (2008) (4)
- Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport (2018) (4)
- Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps (2008) (4)
- Socio-economic cluster detection with Spatial Scan Statistics . Case study : services at intra-urban scale (2007) (4)
- Discovering single classes in remote sensing images with active learning (2012) (4)
- Time series input selection using multiple kernel learning (2010) (4)
- Estimating biophysical variable dependences with kernels (2010) (4)
- Non-linear low-rank and sparse representation for hyperspectral image analysis (2014) (4)
- Advanced active sampling for remote sensing image classification (2010) (4)
- Prompt–RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering (2022) (4)
- Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs (2019) (4)
- Detection of Urban Socio-economic Patterns Using Clustering Techniques (2009) (4)
- Large scale semi-supervised image segmentation with active queries (2011) (3)
- Discovering relevant spatial filterbanks for VHR image classification (2012) (3)
- Explicit recursivity into reproducing kernel Hilbert spaces (2011) (3)
- A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth (2021) (3)
- Deep Domain Adaptation in Earth Observation (2021) (3)
- Near real-time ultrahigh-resolution imaging from unmanned aerial vehicles for sustainable land use management and biodiversity conservation in semi-arid savanna under regional and global change (SAVMAP) (2015) (3)
- Foreword to the theme issue on geospatial computer vision (2018) (3)
- Active multiple kernel learning of wind power resources (2011) (3)
- Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data (2014) (3)
- Multisource clustering of remote sensing images with Entropy-based Dempster-Shafer fusion (2013) (3)
- Foreword to the special issue on data fusion in remote sensing (2015) (3)
- Network-Based Correlated Correspondence for Unsupervised Domain Adaptation of Hyperspectral Satellite Images (2014) (3)
- Unsupervised change detection in the feature space using kernels (2011) (3)
- Deep Learning and Earth Observation to Support the Sustainable Development Goals (2021) (2)
- Cross-Modal Learning of Housing Quality in Amsterdam (2021) (2)
- Report on the 2015 IEEE GRSS Data Fusion Contest-Extremely High Resolution LiDAR and Optical Data: A Data Fusion Challenge [Technical Committees] (2015) (2)
- End-to-end learned early classification of time series for in-season crop type mapping (2019) (2)
- Hierarchical sparse representation for dictionary-based classification of hyperspectral images (2014) (2)
- Muti-modal learning in photogrammetry and remote sensing (2021) (2)
- Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning (2022) (2)
- Foreword to the Special Issue on Urban Remote Sensing (2016) (2)
- Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification (2013) (2)
- Cluster kernels for semisupervised classification of VHR urban images (2009) (2)
- Block Label Swap for Species Distribution Modelling (2022) (2)
- Picture density in the space of geographic features: mapping landscape attractiveness (2014) (2)
- Indoor radon data monitoring networks : Topology, fractality and validity domains (2006) (2)
- Foreword to the Special Issue on Data Fusion in Remote Sensing [From the Guest Editors] (2015) (2)
- Learning spatial filters for multispectral image segmentation (2010) (2)
- Enhanced change detection using nonlinear feature extraction (2012) (2)
- Bayesian data fusion for image enhancement : an application for thermal infrared ASTER sensors (2007) (2)
- Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media (2021) (2)
- Weakly supervised alignment of image manifolds with semantic ties (2014) (2)
- Investigating the feature extraction framework for domain adaptation in remote sensing image classification (2013) (2)
- The 2017 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees] (2017) (1)
- Detection of unsigned ephemeral road incidents by visual cues learned from first-on-scene vehicles (2018) (1)
- Putting the user into the active learning loop: Towards realistic but efficient photointerpretation (2012) (1)
- Domain adaptation in remote sensing through cross-image synthesis with dictionaries (2014) (1)
- Novelty detection in very high resolution urban scenes with Density Forests (2019) (1)
- Hydrometor classification from 2 dimensional videodisdrometer data (2014) (1)
- Semantic labeling of aerial images by learning class-specific object proposals (2016) (1)
- Soil moisture estimation using synergy of optical, SAR, and topographic data with Gaussian Process Regression (2014) (1)
- Multi-view feature extraction for hyperspectral image classification (2013) (1)
- Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning (2022) (1)
- Remote sensing visual question answering with a self-attention multi-modal encoder (2022) (1)
- 2016 IEEE GRSS Data Fusion Contest: Multitemporal Very High Resolution from Space [Technical Committees] (2017) (1)
- Statistical assessment of dataset shift in model portability of multi-angle image acquisitions (2013) (1)
- Crop backscatter modeling and soil moisture estimation with support vector regression (2014) (1)
- Report on the IEEE GRSS\/ISPRS Workshop EarthVision @ CVPR 2015 (Boston, MA) [Technical Committees] (2015) (1)
- Mixed spectral-structural classification of very high resolution images with summation kernels (2008) (1)
- Using active learning for monitoring networks design: the example of wind power plants sites evaluation (2012) (1)
- A Whale's Tail - Finding the Right Whale in an Uncertain World (2020) (1)
- Clustering in Environmental Monitoring Networks: Dimensional Resolutions and Pattern Detection (2008) (1)
- Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions (2013) (1)
- Multisource alignment of image manifolds (2013) (1)
- Multisensor Change Detection with Nonlinear Canonical Correlation (2013) (1)
- Mapping Vulnerable Populations with AI (2021) (1)
- Graph matching for efficient classifiers adaptation (2011) (1)
- Geo-Information Harvesting from Social Media Data (2022) (1)
- Solving structured segmentation of aerial images as puzzles (2016) (1)
- Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction (2018) (1)
- Fine-grained population mapping from coarse census counts and open geodata (2022) (1)
- Attribute Prediction as Multiple Instance Learning (2022) (1)
- Learning class- and location-specific priors for urban semantic labeling with CNNs (2017) (1)
- Foreword to the Special Issue on Urban Remote Sensing for Smarter Cities (2018) (1)
- Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks (2021) (0)
- Towards Efficient Correction of Coconut Tree Detection Errors (2022) (0)
- Introducing AIDE: a Software Suite for Annotating Images with Deep and Active Learning Assistance (2021) (0)
- Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover (2022) (0)
- Predicting the liveability of Dutch cities with aerial images and semantic intermediate concepts (2023) (0)
- ENSEMBLE METHODS FOR ENVIRONMENTAL DATA MODELLING WITH SUPPORT VECTOR REGRESSION (2007) (0)
- Report on the 2014 ieee GR ss Data Fusion contest: multiresolution Fusion of Thermal hyperspectral and Vis Data (2014) (0)
- Hyperspectral and LiDAR data fusion for high resolution urban land cover / land use classification (2013) (0)
- PREFACE – HYPERSPECTRAL SENSING MEETS MACHINE LEARNING AND PATTERN ANALYSIS (HYPERMLPA 2019) (2019) (0)
- Deep Learning‐based Semantic Segmentation in Remote Sensing (2021) (0)
- Hydrometor classification from 2-D videodisdrometer data (2014) (0)
- Deep learning in remote sensing: a review — Source link (0)
- Hydrometeor classification using clustering of polarimetric radar measurements (2013) (0)
- Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network (2023) (0)
- Acquiring the relevant samples for chlorophyll estimation with hyperspectral data (2011) (0)
- D O M A I N A DA P TAT I O N U S I N G M A N I F O L D A L I G N M E N T maxime trolliet (2013) (0)
- Novelty and change detection in remote sensing images with kernels (2012) (0)
- Sentinel-2 Multitemporal Cities Pairs (2020) (0)
- Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation (2020) (0)
- Coastal atmospheric temperature prediction in Greenland using (2012) (0)
- Modelling coastal atmospheric temperature in Greenland with support vector regression (2013) (0)
- Report on the 2014 IEEE GRSS Data Fusion Contest: Multiresolution Fusion of Thermal Hyperspectral and VIS Data [Technical Committees] (2014) (0)
- The influence of sea ice extent variability on the Greenland surface mass and energy balance (2012) (0)
- Individual tree segmentation using the space colonization algorithm (2014) (0)
- 3 D SIFT Extraction 3 D-SIFT Features NNDR RANSAC hOrientationH 2 Db 3 D Corresp . Query-image T 0 SIFT Extraction 2 D-SIFT Features Kalman (2014) (0)
- Unsigned Road Incidents (2020) (0)
- Scientific Basis for Indoor Radon Atlas (2006) (0)
- Geoinformation Harvesting From Social Media Data: A community remote sensing approach (2022) (0)
- Clustering and Hot Spot Detection in Socio-economic Spatio-temporal Data (2009) (0)
- PREFACE – ISPRS WORKSHOP HYPERSPECTRAL SENSING MEETS MACHINE LEARNING AND PATTERN ANALYSIS (HYPERMLPA 2019) (2019) (0)
- Knowledge-Aware Cross-Modal Text-Image Retrieval for Remote Sensing Images (2022) (0)
- Deep Learning Enhances the Detection of Breeding Birds in UAV Images (2021) (0)
- Remote sensing modelling of the permafrost distribution in the hautes alpes calcaires (Switzerland) (2006) (0)
- Ecological applications of imaging spectroscopy in alpine grasslands (2016) (0)
- Spectral adaptation of hyperspectral flight lines using VHR contextual information (2014) (0)
- Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation (2017) (0)
- Deep learning based methods for building segmentation from remote sensing data (2018) (0)
- Interactive multisensor change detection in remote sensing images via kernel canonical correlation (2013) (0)
- Outlook (2021) (0)
- Language Transformers for Remote Sensing Visual Question Answering (2022) (0)
- Foreword to the Special Issue on "GeoVision: Computer Vision for Geospatial Applications" (2016) (0)
- Create the relevant spatial filterbank in the hyperspectral jungle (2013) (0)
- Passive Optical Data Processing (2014) (0)
- Social media and deep learning reveal specific cultural preferences for biodiversity (2023) (0)
- Review of “ Hydrometeor classification from polarimetric radar measurements : A clustering approach ” by (2014) (0)
- Data and code of the paper "Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient" submitted to IJGIS (2020) (0)
- Introduction (2021) (0)
- Hydrometeor classification using data mining techniques and polarimetric radar observations (2013) (0)
- Fusion of Difference Images for Change detection (2019) (0)
- Classification of urban multi-angular image sequences by aligning their manifolds (2013) (0)
- GeoAI as Collaborative Effort (2023) (0)
- GeoVision : Computer vision for spatial applications : special issue of: IEEE Journal of selected topics in applied earth observations and remote sensing (2016) (0)
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