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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
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent NetworksCode1
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources—0
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing—0
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusionCode1
A Perspective on Gaussian Processes for Earth Observation—0
Learning Geocentric Object Pose in Oblique Monocular ImagesCode1
Lightweight Temporal Self-Attention for Classifying Satellite Image Time SeriesCode1
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
The color out of space: learning self-supervised representations for Earth Observation imageryCode1
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