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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 201–225 of 518 papers

TitleStatusHype
Early Flood Warning Using Satellite-Derived Convective System and Precipitation Data -- A Retrospective Case Study of Central Vietnam—0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerCode0
A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa—0
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning—0
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1—0
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer ModelCode0
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image SegmentationCode1
Toward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks—0
Quick unsupervised hyperspectral dimensionality reduction for earth observation: a comparison—0
Major TOM: Expandable Datasets for Earth ObservationCode3
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation ModelsCode1
ViGEO: an Assessment of Vision GNNs in Earth ObservationCode0
Solid Waste Detection, Monitoring and Mapping in Remote Sensing Images: A Survey—0
Large Language Models for Captioning and Retrieving Remote Sensing Images—0
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal—0
DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based MappingCode2
QSpeckleFilter: a Quantum Machine Learning approach for SAR speckle filtering—0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
A Latent Space Metric for Enhancing Prediction Confidence in Earth Observation Data—0
Globally Scalable Glacier Mapping by Deep Learning Matches Expert Delineation AccuracyCode1
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar dataCode0
Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictionCode1
PhilEO Bench: Evaluating Geo-Spatial Foundation ModelsCode2
RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation—0
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