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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 51–75 of 518 papers

TitleStatusHype
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
Attentive Contextual Attention for Cloud RemovalCode1
Distribution Shifts at Scale: Out-of-distribution Detection in Earth ObservationCode1
EarthPT: a time series foundation model for Earth ObservationCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imageryCode1
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image MatchingCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image SegmentationCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
Learning Geocentric Object Pose in Oblique Monocular ImagesCode1
High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation DataCode1
HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space ModelCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target DetectionCode1
A Remote Sensing Image Change Detection Method Integrating Layer Exchange and Channel-Spatial DifferencesCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Deep learning for satellite image forecasting of vegetation greennessCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K ResolutionCode1
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