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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 351–400 of 518 papers

TitleStatusHype
Self-supervised Learning in Remote Sensing: A ReviewCode1
Large region targets observation scheduling by multiple satellites using resampling particle swarm optimization—0
Time Gated Convolutional Neural Networks for Crop Classification—0
MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation—0
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation—0
Pest presence prediction using interpretable machine learning—0
Innovations in the field of on-board scheduling technologies—0
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites—0
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review—0
Satellite Image Time Series Analysis for Big Earth Observation DataCode2
On the semantics of big Earth observation data for land classification—0
Hephaestus: A large scale multitask dataset towards InSAR understandingCode1
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing ImagesCode1
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation dataCode0
Self-supervised Vision Transformers for Joint SAR-optical Representation LearningCode1
Automatic Census of Mussel Platforms Using Sentinel 2 Images—0
Inference over radiative transfer models using variational and expectation maximization methodsCode0
Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative StudyCode0
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change SegmentationCode0
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fieldsCode1
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classificationCode2
Towards Sustainable Satellite Edge Computing—0
CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors—0
RDP-Net: Region Detail Preserving Network for Change DetectionCode1
Ensemble Learning techniques for object detection in high-resolution satellite images—0
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning—0
AiTLAS: Artificial Intelligence Toolbox for Earth ObservationCode2
Classifying Turbulent Environments via Machine Learning—0
Interactive Visualization and Representation Analysis Applied to Glacier SegmentationCode0
Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering AlgorithmCode0
A Novel Full-Polarization SAR Images Ship Detector Based on the Scattering Mechanisms and the Wave Polarization Anisotropy—0
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection—0
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing DataCode1
GEOSCAN: Global Earth Observation using Swarm of Coordinated Autonomous Nanosats—0
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation—0
On-Board Federated Learning for Dense LEO Constellations—0
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity PredictionCode1
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery—0
AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target DetectionCode1
Deep Learning Methods for Daily Wildfire Danger Forecasting—0
Multi-layer Space Information Networks: Access Design and Softwarization—0
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images—0
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery ClassificationCode1
Challenges and Solutions for Utilizing Earth Observations in the "Big Data" era—0
Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual SimilarityCode1
Seeing poverty from space, how much can it be tuned?—0
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring—0
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
Deep learning approaches to Earth Observation change detection—0
Segmentation of VHR EO Images using Unsupervised Learning—0
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