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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 351–375 of 518 papers

TitleStatusHype
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction—0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping—0
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
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildingsCode0
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
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
Object Detection performance variation on compressed satellite image datasets with iquaflowCode0
Reaching the Edge of the Edge: Image Analysis in Space—0
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
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data—0
Big Earth Data and Machine Learning for Sustainable and Resilient AgricultureCode0
Learning Neural Optimal Interpolation Models and Solvers—0
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
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
On Advances, Challenges and Potentials of Remote Sensing Image Analysis in Marine Debris and Suspected Plastics Monitoring—0
EarthNets: Empowering AI in Earth Observation—0
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