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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
Geo-Tiles for Semantic Segmentation of Earth Observation ImageryCode1
Q-Seg: Quantum Annealing-Based Unsupervised Image SegmentationCode1
EarthPT: a time series foundation model for Earth ObservationCode1
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity PredictionCode1
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing DataCode1
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature WildCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space ModelCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
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
Integrating Earth Observation Data into Causal Inference: Challenges and OpportunitiesCode1
Distribution Shifts at Scale: Out-of-distribution Detection in Earth ObservationCode1
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent NetworksCode1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
Local Window Attention Transformer for Polarimetric SAR Image ClassificationCode1
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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