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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 491–500 of 518 papers

TitleStatusHype
Fully Convolutional Siamese Networks for Change DetectionCode0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping—0
Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learning—0
Automatic image annotation : the case of deforestation—0
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery—0
M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusionCode0
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders—0
ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring—0
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation—0
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