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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 441–450 of 518 papers

TitleStatusHype
An energy-efficient learning solution for the Agile Earth Observation Satellite Scheduling Problem—0
Schedule Earth Observation satellites with Deep Reinforcement Learning—0
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change SegmentationCode0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremesCode0
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural NetworksCode0
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerCode0
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest MonitoringCode0
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion ModelsCode0
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric SpaceCode0
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