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Earth Observation

Earth Observation (EO) refers to the use of remote sensing technologies to monitor land, marine (seas, rivers, lakes) and atmosphere. Satellite-based EO relies on the use of satellite-mounted payloads to gather imaging data about the Earth’s characteristics. The images are then processed and analyzed in order to extract different types of information that can serve a very wide range of applications and industries.

Papers

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Showing 151–200 of 518 papers

TitleStatusHype
Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSICode0
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image SegmentationCode0
SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space ModelsCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing ImageryCode0
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar dataCode0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
Foundation Models for Generalist Geospatial Artificial IntelligenceCode0
Rapid Distributed Fine-tuning of a Segmentation Model Onboard SatellitesCode0
Neural Embedding Compression For Efficient Multi-Task Earth Observation ModellingCode0
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning PerspectivesCode0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover ClassificationCode0
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural NetworksCode0
On the Generalizability of Foundation Models for Crop Type MappingCode0
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning ApproachesCode0
Object Detection performance variation on compressed satellite image datasets with iquaflowCode0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
Changer: Feature Interaction is What You Need for Change DetectionCode0
MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation TasksCode0
Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative StudyCode0
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning ApproachCode0
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic SegmentationCode0
M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusionCode0
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer LearningCode0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++Code0
Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentationCode0
On-orbit model training for satellite imagery with label proportionsCode0
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerCode0
Measuring economic activity from space: a case study using flying airplanes and COVID-19Code0
Multi-Task Hypergraphs for Semi-supervised Learning using Earth ObservationsCode0
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice MonitoringCode0
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
Interactive Visualization and Representation Analysis Applied to Glacier SegmentationCode0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community ChallengeCode0
Inference over radiative transfer models using variational and expectation maximization methodsCode0
Improving land cover segmentation across satellites using domain adaptationCode0
Increasing the Robustness of Model Predictions to Missing Sensors in Earth ObservationCode0
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change SegmentationCode0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
Big Earth Data and Machine Learning for Sustainable and Resilient AgricultureCode0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
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