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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
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction—0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping—0
Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations—0
Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation—0
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildingsCode0
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning ApproachesCode0
Quantum algorithms applied to satellite mission planning for Earth observation—0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
Object Detection performance variation on compressed satellite image datasets with iquaflowCode0
Reaching the Edge of the Edge: Image Analysis in Space—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images—0
Unsupervised Flood Detection on SAR Time Series—0
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data—0
Big Earth Data and Machine Learning for Sustainable and Resilient AgricultureCode0
Learning Neural Optimal Interpolation Models and Solvers—0
A General Purpose Neural Architecture for Geospatial Systems—0
An Interpretable Deep Semantic Segmentation Method for Earth Observation—0
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery—0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
On Advances, Challenges and Potentials of Remote Sensing Image Analysis in Marine Debris and Suspected Plastics Monitoring—0
EarthNets: Empowering AI in Earth Observation—0
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images—0
Advances in Fine Line-Of-Sight Control for Large Space Flexible Structures—0
EOD: The IEEE GRSS Earth Observation Database—0
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production—0
Changer: Feature Interaction is What You Need for Change Detection—0
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery—0
Satellite Image Search in AgoraEO—0
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution—0
Noise-Adaptive Intelligent Programmable Meta-Imager—0
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping—0
Multi-strip observation scheduling problem for ac-tive-imaging agile earth observation satellites—0
Three multi-objective memtic algorithms for observation scheduling problem of active-imaging AEOS—0
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
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites—0
Innovations in the field of on-board scheduling technologies—0
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review—0
On the semantics of big Earth observation data for land classification—0
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation dataCode0
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