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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 321–330 of 518 papers

TitleStatusHype
Fuzzy clustering for the within-season estimation of cotton phenologyCode1
Big Earth Data and Machine Learning for Sustainable and Resilient AgricultureCode0
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover ClassificationCode1
Learning Neural Optimal Interpolation Models and Solvers—0
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth ObservationCode2
A General Purpose Neural Architecture for Geospatial Systems—0
An Interpretable Deep Semantic Segmentation Method for Earth Observation—0
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery—0
On Advances, Challenges and Potentials of Remote Sensing Image Analysis in Marine Debris and Suspected Plastics Monitoring—0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
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