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 176–200 of 518 papers

TitleStatusHype
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic SegmentationCode0
Measuring economic activity from space: a case study using flying airplanes and COVID-19Code0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerCode0
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++Code0
Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentationCode0
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning ApproachCode0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
Interactive Visualization and Representation Analysis Applied to Glacier SegmentationCode0
Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community ChallengeCode0
Inference over radiative transfer models using variational and expectation maximization methodsCode0
Improving land cover segmentation across satellites using domain adaptationCode0
Increasing the Robustness of Model Predictions to Missing Sensors in Earth ObservationCode0
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change SegmentationCode0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
Big Earth Data and Machine Learning for Sustainable and Resilient AgricultureCode0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildingsCode0
Geolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic MappingCode0
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest MonitoringCode0
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