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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 101–125 of 518 papers

TitleStatusHype
RDP-Net: Region Detail Preserving Network for Change DetectionCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing DataCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity PredictionCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
EarthPT: a time series foundation model for Earth ObservationCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent NetworksCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial LocalizationCode1
Learning a Cross-modality Anomaly Detector for Remote Sensing ImageryCode1
Distribution Shifts at Scale: Out-of-distribution Detection in Earth ObservationCode1
Integrating Earth Observation Data into Causal Inference: Challenges and OpportunitiesCode1
GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation ModelsCode1
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation PretrainingCode1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
Learning Geocentric Object Pose in Oblique Monocular ImagesCode1
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
Ben-ge: Extending BigEarthNet with Geographical and Environmental DataCode1
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