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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 76–100 of 518 papers

TitleStatusHype
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science ImagesCode1
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
Learning Geocentric Object Pose in Oblique Monocular ImagesCode1
Distribution Shifts at Scale: Out-of-distribution Detection in Earth ObservationCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
A Remote Sensing Image Change Detection Method Integrating Layer Exchange and Channel-Spatial DifferencesCode1
Deep learning for satellite image forecasting of vegetation greennessCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation ModelsCode1
EarthPT: a time series foundation model for Earth ObservationCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Cloud Removal in Satellite Images Using Spatiotemporal Generative NetworksCode1
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusionCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image MatchingCode1
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
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