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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 51–60 of 518 papers

TitleStatusHype
TerraTorch: The Geospatial Foundation Models ToolkitCode4
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?—0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data GenerationCode2
Towards a Unified Copernicus Foundation Model for Earth VisionCode2
Panopticon: Advancing Any-Sensor Foundation Models for Earth ObservationCode1
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning PerspectivesCode0
On the Generalization of Representation Uncertainty in Earth ObservationCode1
GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation ModelsCode1
An energy-efficient learning solution for the Agile Earth Observation Satellite Scheduling Problem—0
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