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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

Showing 101125 of 518 papers

TitleStatusHype
OBBStacking: An Ensemble Method for Remote Sensing Object DetectionCode1
Deep learning for satellite image forecasting of vegetation greennessCode1
Self-supervised Learning in Remote Sensing: A ReviewCode1
Hephaestus: A large scale multitask dataset towards InSAR understandingCode1
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing ImagesCode1
Self-supervised Vision Transformers for Joint SAR-optical Representation LearningCode1
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fieldsCode1
RDP-Net: Region Detail Preserving Network for Change DetectionCode1
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing DataCode1
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity PredictionCode1
AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target DetectionCode1
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery ClassificationCode1
Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual SimilarityCode1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
Single View Geocentric Pose in the WildCode1
Shadow Neural Radiance Fields for Multi-view Satellite PhotogrammetryCode1
Generating Physically-Consistent Satellite Imagery for Climate VisualizationsCode1
Self-supervised Change Detection in Multi-view Remote Sensing ImagesCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing ImageryCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent NetworksCode1
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