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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 411–420 of 518 papers

TitleStatusHype
Compressive Hyperspectral Imaging Using Progressive Total Variation—0
Confidence Estimation in Unsupervised Deep Change Vector Analysis—0
Context-Aware Change Detection With Semi-Supervised Learning—0
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation—0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation—0
Covariance Symmetries Classification in Multitemporal/Multipass PolSAR Images—0
Simulated annealing based heuristic for multiple agile satellites scheduling under cloud coverage uncertainty—0
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images—0
Understanding the impacts of crop diversification in the context of climate change: a machine learning approach—0
Cross-sensor self-supervised training and alignment for remote sensing—0
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