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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 261–270 of 518 papers

TitleStatusHype
Low-power Ship Detection in Satellite Images Using Neuromorphic Hardware—0
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing—0
Low-Thrust Under-Actuated Satellite Formation Guidance and Control Strategies—0
Machine Learning for Generalizable Prediction of Flood Susceptibility—0
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources—0
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
The Mismeasure of Weather: Using Remotely Sensed Earth Observation Data in Economic Context—0
Mapping Housing Stock Characteristics from Drone Images for Climate Resilience in the Caribbean—0
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images—0
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping—0
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