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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 301–310 of 518 papers

TitleStatusHype
On-Board Federated Learning for Dense LEO Constellations—0
Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends—0
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model—0
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation—0
On the semantics of big Earth observation data for land classification—0
On the usability of deep networks for object-based image analysis—0
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?—0
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing—0
Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks—0
ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring—0
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