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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 101–125 of 518 papers

TitleStatusHype
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery ClassificationCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
Attentive Contextual Attention for Cloud RemovalCode1
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imageryCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K ResolutionCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial LocalizationCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
Deep learning for satellite image forecasting of vegetation greennessCode1
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
Self-supervised Learning in Remote Sensing: A ReviewCode1
Self-supervised Vision Transformers for Joint SAR-optical Representation LearningCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
EarthPT: a time series foundation model for Earth ObservationCode1
Ben-ge: Extending BigEarthNet with Geographical and Environmental DataCode1
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