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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 101–150 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
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusionCode1
Lightweight Temporal Self-Attention for Classifying Satellite Image Time SeriesCode1
Learning Geocentric Object Pose in Oblique Monocular ImagesCode1
The color out of space: learning self-supervised representations for Earth Observation imageryCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping NetworkCode1
Cloud Removal in Satellite Images Using Spatiotemporal Generative NetworksCode1
Object Detection in Optical Remote Sensing Images: A Survey and A New BenchmarkCode1
Proximity Forest: An effective and scalable distance-based classifier for time seriesCode1
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance SegmentationCode0
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis—0
Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition—0
Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing—0
Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study—0
Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM DatasetCode0
Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis—0
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars—0
CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities—0
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping—0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation—0
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