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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 51–100 of 518 papers

TitleStatusHype
On the Generalization of Representation Uncertainty in Earth ObservationCode1
OBBStacking: An Ensemble Method for Remote Sensing Object DetectionCode1
Attentive Contextual Attention for Cloud RemovalCode1
Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the CaribbeanCode1
Object Detection in Optical Remote Sensing Images: A Survey and A New BenchmarkCode1
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K ResolutionCode1
Learning a Cross-modality Anomaly Detector for Remote Sensing ImageryCode1
GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation ModelsCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Generating Physically-Consistent Satellite Imagery for Climate VisualizationsCode1
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based ApproachCode1
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image SegmentationCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Proximity Forest: An effective and scalable distance-based classifier for time seriesCode1
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing ApplicationsCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fieldsCode1
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent NetworksCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation PretrainingCode1
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing ImagesCode1
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
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature WildCode1
EarthPT: a time series foundation model for Earth ObservationCode1
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
Distribution Shifts at Scale: Out-of-distribution Detection in Earth ObservationCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
Deep learning for satellite image forecasting of vegetation greennessCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
Lightweight Temporal Self-Attention for Classifying Satellite Image Time SeriesCode1
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation ModelsCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
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
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial LocalizationCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image MatchingCode1
FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imageryCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
Local Window Attention Transformer for Polarimetric SAR Image ClassificationCode1
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