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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 451–460 of 518 papers

TitleStatusHype
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
Deep Neural Networks for automatic extraction of features in time series satellite images—0
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
A Perspective on Gaussian Processes for Earth Observation—0
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
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