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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 301–325 of 518 papers

TitleStatusHype
Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations—0
Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation—0
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based ApproachCode1
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildingsCode0
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern AnalysisCode2
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning ApproachesCode0
Quantum algorithms applied to satellite mission planning for Earth observation—0
WF-UNet: Weather Fusion UNet for Precipitation NowcastingCode1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
Integrating Earth Observation Data into Causal Inference: Challenges and OpportunitiesCode1
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
Local Window Attention Transformer for Polarimetric SAR Image ClassificationCode1
Object Detection performance variation on compressed satellite image datasets with iquaflowCode0
Reaching the Edge of the Edge: Image Analysis in Space—0
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing ApplicationsCode1
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images—0
Unsupervised Flood Detection on SAR Time Series—0
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature WildCode1
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data—0
Fuzzy clustering for the within-season estimation of cotton phenologyCode1
Big Earth Data and Machine Learning for Sustainable and Resilient AgricultureCode0
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover ClassificationCode1
Learning Neural Optimal Interpolation Models and Solvers—0
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth ObservationCode2
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