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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 221–230 of 518 papers

TitleStatusHype
Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis—0
Automatic Census of Mussel Platforms Using Sentinel 2 Images—0
Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia—0
Automated National Urban Map Extraction—0
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
Advances in Fine Line-Of-Sight Control for Large Space Flexible Structures—0
Better, Not Just More: Data-Centric Machine Learning for Earth Observation—0
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features—0
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images—0
Data Augmentation in Earth Observation: A Diffusion Model Approach—0
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