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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 161–170 of 518 papers

TitleStatusHype
Compressed learning based onboard semantic compression for remote sensing platformsCode0
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural NetworksCode0
Measuring economic activity from space: a case study using flying airplanes and COVID-19Code0
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer LearningCode0
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning ApproachCode0
MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation TasksCode0
Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative StudyCode0
On-orbit model training for satellite imagery with label proportionsCode0
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerCode0
M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusionCode0
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