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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 301–350 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
A General Purpose Neural Architecture for Geospatial Systems—0
An Interpretable Deep Semantic Segmentation Method for Earth Observation—0
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery—0
On Advances, Challenges and Potentials of Remote Sensing Image Analysis in Marine Debris and Suspected Plastics Monitoring—0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
EarthNets: Empowering AI in Earth Observation—0
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images—0
Advances in Fine Line-Of-Sight Control for Large Space Flexible Structures—0
OBBStacking: An Ensemble Method for Remote Sensing Object DetectionCode1
EOD: The IEEE GRSS Earth Observation Database—0
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production—0
Changer: Feature Interaction is What You Need for Change Detection—0
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery—0
Satellite Image Search in AgoraEO—0
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution—0
Noise-Adaptive Intelligent Programmable Meta-Imager—0
Deep learning for satellite image forecasting of vegetation greennessCode1
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping—0
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image ClassificationCode2
Earthformer: Exploring Space-Time Transformers for Earth System ForecastingCode2
Three multi-objective memtic algorithms for observation scheduling problem of active-imaging AEOS—0
Multi-strip observation scheduling problem for ac-tive-imaging agile earth observation satellites—0
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