SOTAVerified

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 401–450 of 518 papers

TitleStatusHype
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
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
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
Classifying Turbulent Environments via Machine Learning—0
Interactive Visualization and Representation Analysis Applied to Glacier SegmentationCode0
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection—0
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
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
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery—0
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
Challenges and Solutions for Utilizing Earth Observations in the "Big Data" era—0
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
Deep learning approaches to Earth Observation change detection—0
Segmentation of VHR EO Images using Unsupervised Learning—0
Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover ClassificationCode0
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification—0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—0
Measuring economic activity from space: a case study using flying airplanes and COVID-19Code0
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural NetworksCode0
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions—0
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion—0
Big Plastic Masses Detection using Sentinel 2 Images—0
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems—0
Energy-based Models for Earth Observation Applications—0
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model—0
ICEYE microsatellite SAR constellation status update: Evaluation of first commercial imaging modes—0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
Learning Structures in Earth Observation Data with Gaussian Processes—0
Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation—0
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks—0
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models—0
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations—0
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources—0
Statistical Learning for End-to-End Simulations—0
Physics-Aware Gaussian Processes in Remote Sensing—0
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method—0
Randomized kernels for large scale Earth observation applications—0
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