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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 431–440 of 518 papers

TitleStatusHype
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method—0
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources—0
Randomized kernels for large scale Earth observation applications—0
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Living in the Physics and Machine Learning Interplay for Earth Observation—0
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection—0
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study—0
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping—0
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