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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 451–475 of 518 papers

TitleStatusHype
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery—0
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction—0
EarthNets: Empowering AI in Earth Observation—0
Earth Observation Satellite Scheduling with Graph Neural Networks—0
SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
Edge Preserving CNN SAR Despeckling Algorithm—0
Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation—0
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds—0
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation—0
Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs—0
Energy-based Models for Earth Observation Applications—0
Ensemble Learning techniques for object detection in high-resolution satellite images—0
EOD: The IEEE GRSS Earth Observation Database—0
EOGS: Gaussian Splatting for Earth Observation—0
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting—0
Specialized Change Detection using Segment Anything—0
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations—0
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking—0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification—0
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI—0
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery—0
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset—0
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