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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 271–280 of 518 papers

TitleStatusHype
Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review—0
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning—0
A metrological framework for uncertainty evaluation in machine learning classification models—0
Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learning—0
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping—0
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images—0
Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study—0
MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation—0
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery—0
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation—0
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